Knowledge (XXG)

Financial modeling

Source đź“ť

479: 76: 461:, "and to explore what can go wrong". Here, in general, modellers "use point values and simple arithmetic instead of probability distributions and statistical measures" — i.e., as mentioned, the problems are treated as deterministic in nature — and thus calculate a single value for the asset or project, but without providing information on the range, variance and sensitivity of outcomes; see 3698: 3688: 1078:
In the philosophy of financial modeling, scholars have more recently begun to question the generally-held assumption that financial modelers seek to represent any "real-world" or actually ongoing investment situation. Instead, it has been suggested that the task of the financial modeler resides in
58:
Typically, then, financial modeling is understood to mean an exercise in either asset pricing or corporate finance, of a quantitative nature. It is about translating a set of hypotheses about the behavior of markets or agents into numerical predictions. At the same time, "financial modeling" is a
1055:-sponsored ModelOff Financial Modeling World Championships were held annually from 2012 to 2019, with competitions throughout the year and a finals championship in New York or London. After its end in 2020, several other modeling championships have been started, including the 933:, are often preferred, particularly where stability or speed is a concern. MATLAB is often used at the research or prototyping stage because of its intuitive programming, graphical and debugging tools, but C++/Fortran are preferred for conceptually simple but 988:
by several years) emphasizes the differences between the mathematical and physical sciences, and finance, and the resultant caution to be applied by modelers, and by traders and risk managers using their models. Notable here are
1119: 840: 469:
concepts amongst modelers, with the result that their models are often poorly structured, and difficult to maintain. Serious criticism is also directed at the nature of budgeting, and its impact on the organization.
457:.) What is required, but often lacking, is that all key elements are explicitly and consistently forecasted. Related to this, is that modellers often additionally "fail to identify crucial assumptions" relating to 3102: 2466: 1705: 3095: 1559:. In G. Siemens & C. Fulford (Eds.), Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications 2009 (pp. 151-159). Chesapeake, VA: AACE. 3088: 433:, often inhere "unrealistic implicit assumptions" and "internal inconsistencies". (For example, a forecast for growth in revenue but without corresponding increases in 2187: 1618: 1079:
demonstrating the possibility of a transaction in a prospective investment scenario, from a limited base of possibility conditions initially assumed in the model.
1614: 1408: 402:-based; this is largely since the models are almost always company-specific. Also, analysts will each have their own criteria and methods for financial modeling. 1164: 1139: 372: 808: 589: 3742: 1303:
in order that the government department can understand and if necessary challenge the pricing principles which underlie a bidder's costs. E.g.
2818: 2757: 2734: 2692: 2624: 2487: 2405: 2382: 2298: 2279: 2229: 2208: 2171: 2115: 2014: 1984: 1908: 1492: 1458: 1335: 1248: 462: 388: 125: 1060: 1075:
Philosophy of financial modeling is a branch of philosophy concerned with the foundations, methods, and implications of modeling science.
926: 903: 832: 3032: 3009: 2990: 2967: 2948: 2929: 2906: 2887: 2864: 2799: 2780: 2666: 2594: 2451: 2428: 2359: 2340: 2146: 2056: 1800: 344:. For discussion of the issues that may arise, see below; for discussion as to more sophisticated approaches sometimes employed, see 302:, calculations and outputs are monthly, quarterly or annual; secondly, the inputs take the form of "assumptions", where the analyst 3070: 3051: 2841: 2715: 2647: 2567: 2533: 2510: 2321: 2256: 2033: 1958: 1935: 792: 2856: 2749: 2616: 3569: 1114: 999: 769: 260: 173: 985: 958: 899: 895: 848: 683: 246: 3482: 2075: 891: 800: 738: 191: 3628: 2157: 1607: 1273: 1813: 1751: 1374: 3732: 1363: 938: 922: 910: 3422: 1129: 1056: 368: 196: 1405: 3539: 1430: 598: 376: 371:
with (optional) coursework in "financial modeling". Accounting qualifications and finance certifications such as the
2310:
Financial Modeling and Analysis: A Spreadsheet Technique for Financial, Investment, and Risk Management, 2nd Edition
59:
general term that means different things to different users; the reference usually relates either to accounting and
3737: 3727: 3502: 1240:
Schaum's quick guide to business formulas: 201 decision-making tools for business, finance, and accounting students
820: 773: 383:
are offered, both through universities and privately. For the components and steps of business modeling here, see
287: 183: 639: 3722: 3673: 3658: 3648: 3487: 3302: 2313: 1900: 1159: 687: 635: 631: 51:
designed to represent (a simplified version of) the performance of a financial asset or portfolio of a business,
3691: 3668: 3606: 3432: 3357: 3317: 3297: 1722: 974:
is the subject of ongoing research by finance academics, and is a topic of great, and growing, interest in the
812: 611: 559: 502:. Models here deal with asset prices, market movements, portfolio returns and the like. A general distinction 380: 222: 212: 1012: 3402: 3392: 3362: 3332: 3272: 2163: 2006: 1950: 1593: 1016: 942: 781: 777: 695: 671: 577: 483: 454: 238: 3643: 3544: 3407: 3245: 3215: 1300: 934: 665: 661: 657: 623: 511: 292: 275: 271: 264: 17: 3559: 2921: 2582: 1541: 1104: 1040: 1024: 1004: 734: 581: 548: 544: 507: 379:
generally do not provide direct or explicit training in modeling. At the same time, numerous commercial
242: 179: 138: 83: 410:
in the 1990s. Spreadsheet-based modelling can have its own problems, and several standardizations and "
3581: 3576: 2982: 2879: 2833: 2707: 2684: 2639: 2479: 2420: 2397: 2374: 2138: 1976: 1518: 1089: 1032: 1008: 855: 844: 824: 691: 593: 555: 533: 525: 491: 466: 256: 64: 1557:
Knowledge Gap? Accounting Practitioners Lacking Computer Programming Concepts as Essential Knowledge
106:; usually the preparation of detailed company-specific models used for decision making purposes and 3531: 2099: 1994: 1664: 1304: 1094: 1036: 1020: 950: 883: 816: 727: 711: 619: 349: 299: 187: 129: 1637: 1514: 1204: 3701: 3613: 3554: 3477: 3469: 3255: 3240: 3115: 2586: 2181: 2121: 1867: 1687: 1144: 1124: 1109: 836: 828: 707: 652: 627: 615: 567: 536: 499: 384: 333: 218: 148: 117: 107: 103: 48: 40: 1308: 2371:
Building Financial Models with Microsoft Excel: A Guide for Business Professionals, 2nd Edition
1051:
Several financial modeling competitions exist, emphasizing speed and accuracy in modeling. The
957:, or whether existing products are to be deployed, will depend on the problem in question. See 3633: 3618: 3549: 3492: 3437: 3412: 3382: 3372: 3282: 3265: 3186: 3181: 3141: 3136: 3123: 3111: 3066: 3047: 3028: 3005: 2986: 2963: 2944: 2925: 2902: 2883: 2860: 2837: 2814: 2795: 2776: 2753: 2730: 2711: 2688: 2662: 2643: 2620: 2590: 2563: 2529: 2506: 2483: 2447: 2424: 2401: 2378: 2355: 2336: 2317: 2294: 2275: 2252: 2235: 2225: 2219: 2204: 2200: 2167: 2142: 2111: 2071: 2052: 2029: 2010: 1980: 1954: 1931: 1904: 1796: 1767: 1583: 1488: 1482: 1454: 1341: 1331: 1244: 1028: 887: 804: 755: 742: 719: 563: 515: 430: 395: 356: 345: 165: 156: 134: 91: 60: 2811:
Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration and Hedging
1019:). In fact, these may go so far as to question the "empirical and scientific validity... of 332:, etc....). Correspondingly, both characteristics are reflected (at least implicitly) in the 3591: 3586: 3497: 3452: 3352: 3250: 3171: 3156: 3131: 2352:
Financial Modeling and Valuation: A Practical Guide to Investment Banking and Private Equity
2271: 2103: 1857: 1679: 1652: 1537: 1448: 1219: 1189: 875: 703: 585: 540: 529: 450: 234: 160: 3080: 2093: 1299:
disclosure of a financial model is often requested by purchasing organizations undertaking
3653: 3564: 3517: 3507: 3442: 3367: 3337: 3287: 3235: 3207: 3151: 3024: 2440:
Mastering Financial Modeling: A Professional's Guide to Building Financial Models in Excel
2048: 1755: 1665:"Canonical vine copulas in the context of modern portfolio management: Are they worth it?" 1434: 1412: 1379: 1296: 975: 965: 954: 434: 403: 360: 283: 252: 230: 204: 200: 169: 121: 389:
Valuation using discounted cash flows § Determine cash flow for each forecast period
937:
where MATLAB is too slow; Python is increasingly used due to its simplicity, and large
506:: (i) "quantitative asset pricing", models of the returns of different stocks; (ii) " 478: 3601: 3512: 2608: 1311:, UKFTT EA_2010_0073, paragraph 58, decided 20 September 2010, accessed 11 January 2024 1099: 1011:
techniques usually applied to finance are at all appropriate (see the assumptions made
990: 747: 442: 226: 2417:
The Essentials of Financial Modeling in Excel: A Concise Guide to Concepts and Methods
3716: 3220: 2676: 2604: 2125: 1968: 1920: 1871: 1742: 1691: 699: 679: 675: 573: 411: 341: 337: 307: 208: 2394:
Financial Modelling in Practice: A Concise Guide for Intermediate and Advanced Level
1638:"Enhancing mean–variance portfolio selection by modeling distributional asymmetries" 949:. Additionally, for many (of the standard) derivative and portfolio applications, 886:. Alternatively, or in addition to their quantitative background, they complete a 298:
To generalize as to the nature of these models: firstly, as they are built around
75: 3459: 3307: 3292: 3166: 1998: 1789: 1785: 1683: 1656: 1154: 994: 909:
Although spreadsheets are widely used here also (almost always requiring extensive
764: 643: 438: 415: 279: 3021:
Long-Term Portfolio Simulation - For XVA, Limits, Liquidity and Regulatory Capital
1862: 1845: 1359: 1325: 1238: 3417: 3387: 3230: 3161: 2772: 2525: 2443: 1820: 1746: 1134: 879: 871: 607: 419: 407: 399: 79: 36: 1223: 3663: 3623: 3427: 3377: 3347: 3225: 3146: 2555: 2239: 2107: 1345: 970: 863: 788: 446: 95: 3638: 3397: 3260: 2559: 1927: 1149: 1064: 1052: 981: 796: 647: 329: 316: 2876:
Financial Modelling: Theory, Implementation and Practice with MATLAB Source
2613:
Interest Rate Models - Theory and Practice with Smile, Inflation and Credit
1543:
Probabilistic Approaches: Scenario Analysis, Decision Trees and Simulations
1427: 306:
the values that will apply in each period for external / global variables (
2918:
Computational Finance: Numerical Methods for Pricing Financial Instruments
1447:
Krishna G. Palepu; Paul M. Healy; Erik Peek; Victor Lewis Bernard (2007).
3447: 3342: 3327: 2502: 1771: 1393:
Valuing Companies by Cash Flow Discounting: Ten Methods and Nine Theories
1120:
Financial models with long-tailed distributions and volatility clustering
946: 841:
Financial models with long-tailed distributions and volatility clustering
751: 2068:
Spreadsheet Applications to securities valuation and investment theories
1556: 1165:
Unreasonable ineffectiveness of mathematics § Economics and finance
363:, as "number crunchers"). Typically, the modeler will have completed an 3277: 2333:
Business Analysis and Valuation Using Financial Statements, 5th Edition
918: 867: 503: 152: 52: 44: 2499:
Principles of Cash Flow Valuation: An Integrated Market-Based Approach
1718: 1569: 510:", models of the price or returns of derivative securities; (iii) " 441:
and the associated financing, may imbed unrealistic assumptions about
3044:
Risk and Financial Management: Mathematical and Computational Methods
930: 759: 144: 959:
Quantitative analysis (finance) § Library quantitative analysis
518:, high-frequency trading, algorithmic trading, and program trading. 2704:
Financial Modeling of the Equity Market: From CAPM to Cointegration
1587: 1392: 1262:§39 "Corporate Planning Models". See also, §294 "Simulation Model". 914: 463:
Valuation using discounted cash flows § Determine equity value
3176: 1524: 964:
The complexity of these models may result in incorrect pricing or
859: 477: 325: 74: 2681:
Valuation of fixed income securities and derivatives, 3rd Edition
2026:
Financial Analysis and Modeling Using Excel and VBA, 2nd Edition
1237:
Joel G. Siegel; Jae K. Shim; Stephen Hartman (1 November 1997).
723: 715: 465:. A further, more general critique relates to the lack of basic 3084: 3002:
Modern Computational Finance: Scripting for Derivatives and xVA
1395:, Pablo Fernandez: University of Navarra - IESE Business School 2746:
Implementing Models in Quantitative Finance: Methods and Cases
953:
is available, and the choice as to whether the model is to be
602: 364: 311: 2702:
Fabozzi, Frank J.; Sergio M. Focardi; Petter N. Kolm (2004).
1309:
Department for Works and Pensions v. Information Commissioner
1481:
Richard A. Brealey; Stewart C. Myers; Brattle Group (2003).
3061:
Humphrey Tung; Donny Lai; Michael Wong; Stephen Ng (2010).
455:
Sustainable growth rate § From a financial perspective
2769:
The Complete Guide to Option Pricing Formulas, 2nd edition
1663:
Low, R.K.Y.; Alcock, J.; Faff, R.; Brailsford, T. (2013).
823:. The general nature of these problems is discussed under 2899:
Mathematical Models of Financial Derivatives, 2nd edition
2851:
Jondeau, Eric; Ser-Huang Poon; Michael Rockinger (2007).
2467:
Institute of Chartered Accountants in England & Wales
2045:
Microsoft Excel 2013 Data Analysis and Business Modeling
1205:"The Role of Analysts' Forecasts in the Momentum Effect" 862:
level) backgrounds in quantitative disciplines such as
406:
now has by far the dominant position, having overtaken
854:
Modellers are generally referred to as "quants", i.e.
486:- usually returned by commercial derivatives software 1406:
Six reasons your spreadsheet is NOT a financial model
3063:
Professional Financial Computing Using Excel and VBA
2979:
Option Pricing Models and Volatility Using Excel-VBA
2792:
Interest Rate Modelling in the Multi-Curve Framework
2579:
Building Financial Derivatives Applications with C++
2249:
Financial Modelling for Project Finance, 2nd Edition
314:
percentage, etc....; may be thought of as the model
3530: 3468: 3316: 3206: 3195: 3122: 2853:
Financial Modeling Under Non-Gaussian Distributions
1846:"On the epistemic contribution of financial models" 1728:), discussing cash position modeled stochastically. 1037:
Financial economics § Challenges and criticism
350:
Financial economics § Corporate finance theory
1919: 2977:Rouah, Fabrice Douglas; Gregory Vainberg (2007). 2830:Advanced modelling in finance using Excel and VBA 398:does exist, the vast proportion of the market is 2197:Mastering Financial Modelling in Microsoft Excel 346:Corporate finance § Quantifying uncertainty 1450:Business analysis and valuation: text and cases 825:Mathematical finance § History: Q versus P 1615:Society for Industrial and Applied Mathematics 3096: 2725:Shayne Fletcher; Christopher Gardner (2010). 890:with a quantitative orientation, such as the 827:, while specific techniques are listed under 141:("what is"; "what if"; "what has to be done") 8: 3000:Antoine Savine and Jesper Andreasen (2018). 2335:. Boston: South-Western College Publishing. 2186:: CS1 maint: multiple names: authors list ( 1773:Theory and Practice of Model Risk Management 829:Outline of finance § Mathematical tools 385:Outline of finance § Financial modeling 2497:Tham, Joseph; Ignacio Velez-Pareja (2004). 1589:Corporate Budgeting Is Broken, Let's Fix It 1487:. McGraw-Hill Professional. pp. 223–. 1437:, European Spreadsheet Risks Interest Group 1319: 1317: 1003:. Some go further and question whether the 498:entails the development of a sophisticated 391:for further discussion and considerations. 3697: 3687: 3203: 3103: 3089: 3081: 2744:Fusai, Gianluca; Andrea Roncoroni (2008). 2476:Practical Financial Modelling, 2nd Edition 2331:Palepu, Krishna G.; Paul M. Healy (2012). 2266:Mayes, Timothy R.; Shank, Todd M. (2014). 1814:"How the Finance Gurus Get Risk All Wrong" 1423: 1421: 1212:International Review of Financial Analysis 1140:Modeling and analysis of financial markets 18:Modeling and analysis of financial markets 2289:Peter K Nevitt; Frank J. Fabozzi (2000). 1861: 831:. For further discussion here see also: 653:Structured product design and manufacture 418:is increasingly studied and managed; see 2960:Credit Risk Modeling using Excel and VBA 2293:. Euromoney Institutional Investor PLC. 1738: 1736: 1734: 1453:. Cengage Learning EMEA. pp. 261–. 795:in nature, and models here thus require 2874:Joerg Kienitz; Daniel Wetterau (2012). 2634:Clewlow, Les; Chris Strickland (1998). 2268:Financial Analysis with Microsoft Excel 2221:Financial Modeling in Excel for Dummies 1726:Options, Futures, and Other Derivatives 1636:Low, R.K.Y.; Faff, R.; Aas, K. (2016). 1327:Financial Modeling in Excel for Dummies 1177: 1041:Financial engineering § Criticisms 984:of the discipline (often preceding the 320:), and for internal / company specific 2659:Financial Instrument Pricing Using C++ 2224:. John Wiley & Sons. p. 120. 2179: 2028:. Hoboken, NJ: John Wiley & Sons. 2003:The Oxford Guide to Financial Modeling 1897:The Financial Modellers VBA Compendium 1574:, Harvard Management Update, May 2003. 1376:The MiF can offer an edge over the CFA 2828:Jackson, Mary; Mike Staunton (2001). 2070:. John Wiley and Sons Australia Ltd. 1183: 1181: 1150:Pro forma § Financial statements 1033:Mathematical finance § Criticism 7: 2159:Valuations, Mergers and Acquisitions 1812:Nassim Taleb and Benoit Mandelbrot. 1706:Quantifying Corporate Financial Risk 1061:Microsoft Excel Collegiate Challenge 935:high computational-cost applications 906:certificate is increasingly common. 1145:Outline of finance § Education 833:Brownian model of financial markets 743:risk analysis in capital investment 2463:Financial Modelling Special Report 2156:Beech, G. and Thayser, D. (2015). 2135:Introduction to Financial Modeling 2095:The Handbook of Financial Modeling 1324:Fairhurst, Danielle Stein (2022). 1274:"Renewable Energy Financial Model" 521:Relatedly, applications include: 359:" (and are sometimes referred to, 25: 1645:Journal of Economics and Business 1404:Danielle Stein Fairhurst (2009). 733:Corporate finance applications: 512:quantitative portfolio management 425:One critique here, is that model 334:mathematical form of these models 3696: 3686: 2552:Computational Methods in Finance 1973:Encyclopedia of Financial Models 1947:Principles of Finance with Excel 1672:Journal of Banking & Finance 1624:from the original on 2019-03-05. 1608:"Careers in Applied Mathematics" 1571:Why Budgeting Kills Your Company 1520:Spreadsheets: 25 Years in a Cell 1484:Capital investment and valuation 1071:Philosophy of financial modeling 809:numerical differential equations 2958:Löeffler, G; Posch, P. (2011). 2308:Ongkrutaraksa, Worapot (2006). 1850:Journal of Economic Methodology 1790:"History Written By The Losers" 900:Master of Financial Engineering 896:Master of Computational Finance 858:, and typically have advanced ( 849:Historical simulation (finance) 664:more generally; see further re 572:Modeling the term structure of 355:Modelers are often designated " 104:financial statement forecasting 3483:Debtor-in-possession financing 2636:Implementing Derivative Models 1684:10.1016/j.jbankfin.2013.02.036 1657:10.1016/j.jeconbus.2016.01.003 1278:Renewables Valuation Institute 892:Master of Quantitative Finance 787:These problems are generally 601:, CVA, as well as the various 336:: firstly, the models are in 192:asset and liability management 1: 3743:Computational fields of study 2727:Financial Modelling in Python 1863:10.1080/1350178X.2023.2172447 1792:, Foreword to Pablo Triana's 1364:University of South Australia 1203:Low, R.K.Y.; Tan, E. (2016). 1115:Financial Modelers' Manifesto 1000:Financial Modelers' Manifesto 666:optimization methods employed 3423:Staggered board of directors 2901:. London: Springer Finance. 2767:Haug, Espen Gaarder (2007). 2218:Fairhurst, Danielle (2022). 1596:, pp. 94-101, November 2001. 1243:. McGraw-Hill Professional. 1130:Integrated business planning 1057:Financial Modeling World Cup 819:) and/or the development of 739:corporate financing activity 197:Financial statement analysis 86:(click to view at full size) 3540:Accretion/dilution analysis 2941:Modeling Derivatives in C++ 2314:Pearson Education Australia 1188:Investopedia Staff (2020). 986:financial crisis of 2007–08 927:numerical-analysis software 599:Credit valuation adjustment 55:, or any other investment. 35:is the task of building an 3759: 3503:Leveraged recapitalization 2098:(2nd ed.). New York: 2024:Sengupta, Chandan (2009). 1794:Lecturing Birds How to Fly 1224:10.1016/j.irfa.2016.09.007 894:, or the more specialized 774:Dynamic financial analysis 288:Managerial risk accounting 139:management decision making 130:other valuation approaches 27:Modeling financial systems 3682: 3674:Valuation using multiples 3659:Sum-of-the-parts analysis 3629:Modigliani–Miller theorem 3488:Dividend recapitalization 3303:Secondary market offering 3065:. John Wiley & Sons. 2522:Building Financial Models 2108:10.1007/978-1-4842-6540-6 1704:See David Shimko (2009). 1546:, NYU Stern Working Paper 1330:. John Wiley & Sons. 1301:public sector procurement 1160:Return on modeling effort 741:prediction problems, and 560:interest rate derivatives 293:Public sector procurement 3692:List of investment banks 3607:Free cash flow to equity 3433:Super-majority amendment 3358:Management due diligence 3298:Seasoned equity offering 3046:. John Wiley & Son. 3042:Charles Tapiero (2004). 3019:Alexander Sokol (2014). 2615:(2nd ed.). London: 2350:Pignataro, Paul (2003). 2270:(7th ed.). Boston: 2247:Lynch, Penelope (1997). 1945:Benninga, Simon (2006). 1918:Benninga, Simon (1997). 813:numerical linear algebra 760:IFRS 9 § Impairment 700:"sensitivities" analysis 612:counterparty credit risk 3403:Shareholder rights plan 3393:Post-merger integration 3363:Managerial entrenchment 3333:Contingent value rights 3273:Initial public offering 2939:London, Justin (2004). 2897:Kwok, Yue-Kuen (2008). 2809:Hilpisch, Yves (2015). 2729:. John Wiley and Sons. 2577:Brooks, Robert (2000). 2474:Swan, Jonathan (2008). 2461:Swan, Jonathan (2007). 2438:Soubeiga, Eric (2013). 2369:Proctor, Scott (2009). 2164:Oxford University Press 2043:Winston, Wayne (2014). 2007:Oxford University Press 1951:Oxford University Press 1594:Harvard Business Review 1021:modern financial theory 672:Financial risk modeling 514:", models underpinning 394:Although purpose-built 270:Management accounting: 113:Applications include: 37:abstract representation 3545:Adjusted present value 3408:Special-purpose entity 3246:Direct public offering 3216:At-the-market offering 2962:. Hoboken, NJ: Wiley. 2657:Duffy, Daniel (2004). 2415:Rees, Michael (2023). 2392:Rees, Michael (2008). 2354:. Hoboken, NJ: Wiley. 2195:Day, Alastair (2007). 2133:Bastick, Liam (2020). 1708:. archived 2010-07-17. 943:available applications 770:Actuarial applications 662:Quantitative investing 658:Portfolio optimization 487: 414:" have been proposed. 340:; secondly, they are 276:Profitability analysis 272:Activity-based costing 87: 3560:Conglomerate discount 2943:. New Jersey: Wiley. 2922:Butterworth-Heinemann 2916:Levy, George (2004). 2813:. New Jersey: Wiley. 2661:. New Jersey: Wiley. 2251:. Euromoney Trading. 1605:See discussion here: 1105:Financial engineering 1023:". Notable here are 856:quantitative analysts 640:Jarrow–Turnbull model 545:stochastic volatility 508:financial engineering 481: 219:Transaction analytics 180:Cash flow forecasting 78: 47:situation. This is a 3733:Mathematical finance 3582:Economic value added 3577:Discounted cash flow 2544:Quantitative finance 2092:Avon, Jack. (2021). 1555:Blayney, P. (2009). 1190:"Financial Modeling" 1090:All models are wrong 1063:, also sponsored by 1047:Competitive modeling 1009:statistical modeling 845:Extreme value theory 492:quantitative finance 484:interest rate "tree" 482:Visualization of an 474:Quantitative finance 467:computer programming 300:financial statements 257:Consumer credit risk 251:Credit decisioning: 161:operations budgeting 157:production budgeting 126:discounted cash flow 84:Cash Flow Projection 65:quantitative finance 3167:Senior secured debt 2790:M. Henrard (2014). 2550:Hirsa, Ali (2013). 2520:Tjia, John (2003). 2066:Yip, Henry (2005). 1895:Avon, Jack (2017). 1844:Mebius, A. (2023). 1748:On Becoming a Quant 1568:Loren Gary (2003). 1360:Financial Modelling 1305:First-tier Tribunal 1095:Asset pricing model 951:commercial software 884:operations research 821:optimization models 817:dynamic programming 801:computer simulation 782:investment modeling 735:cash flow analytics 537:volatility surfaces 528:and calculation of 188:treasury management 149:revenue forecasting 63:applications or to 3702:Outline of finance 3614:Market value added 3597:Financial modeling 3555:Business valuation 3478:Debt restructuring 3256:Follow-on offering 3241:Corporate spin-off 3199:(terms/conditions) 3116:investment banking 2312:. Frenchs Forest: 1922:Financial Modeling 1754:2012-01-14 at the 1433:2018-03-29 at the 1411:2010-04-07 at the 1125:Financial planning 1110:Financial forecast 955:developed in-house 837:Martingale pricing 797:complex algorithms 616:regulatory capital 592:) and any related 568:exotic derivatives 564:credit derivatives 500:mathematical model 496:financial modeling 488: 416:"Spreadsheet risk" 118:Business valuation 108:financial analysis 102:typically entails 100:financial modeling 88: 49:mathematical model 43:) of a real world 33:Financial modeling 3738:Corporate finance 3728:Actuarial science 3710: 3709: 3634:Net present value 3619:Minority interest 3550:Associate company 3526: 3525: 3493:Financial sponsor 3413:Special situation 3383:Pre-emption right 3373:Minority discount 3283:Private placement 3182:Subordinated debt 3137:Exchangeable debt 3124:Capital structure 3112:Corporate finance 2820:978-1-119-03799-6 2759:978-3-540-22348-1 2736:978-0-470-74789-6 2694:978-1-883249-25-0 2677:Fabozzi, Frank J. 2626:978-3-540-22149-4 2489:978-0-7506-8647-1 2407:978-0-470-99744-4 2384:978-0-470-48174-5 2300:978-1-85564-791-6 2291:Project Financing 2281:978-1-285-43227-4 2231:978-1-119-84451-8 2210:978-0-273-70806-3 2201:Pearson Education 2173:978-0-585-13223-5 2117:978-1-4842-6540-6 2086:Corporate finance 2016:978-0-19-516962-1 1986:978-1-118-00673-3 1969:Fabozzi, Frank J. 1926:. Cambridge, MA: 1910:978-0-9956-7254-3 1768:Riccardo Rebonato 1634:See for example: 1494:978-0-07-138377-6 1460:978-1-84480-492-4 1391:See for example, 1358:Example course: 1337:978-1-119-84451-8 1271:See for example: 1250:978-0-07-058031-2 1029:Benoit Mandelbrot 997:, authors of the 805:numerical methods 756:Credit scorecards 586:short-rate models 516:automated trading 396:business software 357:financial analyst 166:Capital budgeting 135:Scenario planning 124:- especially via 92:corporate finance 61:corporate finance 16:(Redirected from 3750: 3723:Financial models 3700: 3699: 3690: 3689: 3592:Fairness opinion 3587:Enterprise value 3570:Weighted average 3498:Leveraged buyout 3353:Drag-along right 3251:Equity carve-out 3208:Equity offerings 3204: 3200: 3172:Shareholder loan 3157:Second lien debt 3152:Preferred equity 3132:Convertible debt 3105: 3098: 3091: 3082: 3076: 3057: 3038: 3015: 2996: 2973: 2954: 2935: 2912: 2893: 2870: 2847: 2824: 2805: 2786: 2763: 2750:Springer Finance 2740: 2721: 2698: 2672: 2653: 2630: 2617:Springer Finance 2600: 2573: 2539: 2516: 2493: 2470: 2457: 2434: 2411: 2388: 2365: 2346: 2327: 2304: 2285: 2272:Cengage Learning 2262: 2243: 2214: 2191: 2185: 2177: 2152: 2129: 2081: 2062: 2039: 2020: 1990: 1964: 1941: 1925: 1914: 1901:Begawans Veranda 1876: 1875: 1865: 1841: 1835: 1834: 1832: 1831: 1825: 1819:. Archived from 1818: 1809: 1803: 1783: 1777: 1765: 1759: 1740: 1729: 1717:See for example 1715: 1709: 1702: 1696: 1695: 1678:(8): 3085–3099. 1669: 1660: 1642: 1632: 1626: 1625: 1623: 1612: 1603: 1597: 1581: 1575: 1566: 1560: 1553: 1547: 1538:Aswath Damodaran 1534: 1528: 1512: 1506: 1505: 1503: 1501: 1478: 1472: 1471: 1469: 1467: 1444: 1438: 1425: 1416: 1402: 1396: 1389: 1383: 1382:, June 21, 2015. 1372: 1366: 1356: 1350: 1349: 1321: 1312: 1294: 1288: 1287: 1285: 1284: 1269: 1263: 1261: 1259: 1257: 1234: 1228: 1227: 1209: 1200: 1194: 1193: 1185: 939:standard library 876:computer science 451:equity financing 381:training courses 184:working capital- 128:, but including 21: 3758: 3757: 3753: 3752: 3751: 3749: 3748: 3747: 3713: 3712: 3711: 3706: 3678: 3654:Stock valuation 3649:Residual income 3565:Cost of capital 3522: 3518:Project finance 3508:High-yield debt 3464: 3443:Tag-along right 3368:Mandatory offer 3338:Control premium 3319: 3312: 3288:Public offering 3236:Bought out deal 3198: 3197: 3191: 3118: 3109: 3079: 3073: 3060: 3054: 3041: 3035: 3018: 3012: 2999: 2993: 2976: 2970: 2957: 2951: 2938: 2932: 2915: 2909: 2896: 2890: 2878:. Hoboken, NJ: 2873: 2867: 2850: 2844: 2827: 2821: 2808: 2802: 2789: 2783: 2766: 2760: 2743: 2737: 2724: 2718: 2706:. Hoboken, NJ: 2701: 2695: 2683:. Hoboken, NJ: 2675: 2669: 2656: 2650: 2633: 2627: 2603: 2597: 2576: 2570: 2549: 2536: 2519: 2513: 2496: 2490: 2480:CIMA Publishing 2473: 2460: 2454: 2437: 2431: 2419:. Hoboken, NJ: 2414: 2408: 2396:. Hoboken, NJ: 2391: 2385: 2373:. Hoboken, NJ: 2368: 2362: 2349: 2343: 2330: 2324: 2307: 2301: 2288: 2282: 2265: 2259: 2246: 2232: 2217: 2211: 2194: 2178: 2174: 2155: 2149: 2132: 2118: 2091: 2078: 2065: 2059: 2049:Microsoft Press 2042: 2036: 2023: 2017: 1993: 1987: 1975:. Hoboken, NJ: 1967: 1961: 1944: 1938: 1917: 1911: 1894: 1885: 1880: 1879: 1843: 1842: 1838: 1829: 1827: 1823: 1816: 1811: 1810: 1806: 1784: 1780: 1766: 1762: 1756:Wayback Machine 1741: 1732: 1716: 1712: 1703: 1699: 1667: 1662: 1640: 1635: 1633: 1629: 1621: 1610: 1606: 1604: 1600: 1582: 1578: 1567: 1563: 1554: 1550: 1535: 1531: 1513: 1509: 1499: 1497: 1495: 1480: 1479: 1475: 1465: 1463: 1461: 1446: 1445: 1441: 1435:Wayback Machine 1426: 1419: 1413:Wayback Machine 1403: 1399: 1390: 1386: 1380:Financial Times 1373: 1369: 1357: 1353: 1338: 1323: 1322: 1315: 1295: 1291: 1282: 1280: 1272: 1270: 1266: 1255: 1253: 1251: 1236: 1235: 1231: 1207: 1202: 1201: 1197: 1187: 1186: 1179: 1174: 1169: 1085: 1073: 1049: 976:risk management 888:finance masters 476: 435:working capital 404:Microsoft Excel 361:tongue in cheek 284:Whole-life cost 253:Credit analysis 243:Project finance 170:cost of capital 122:stock valuation 73: 28: 23: 22: 15: 12: 11: 5: 3756: 3754: 3746: 3745: 3740: 3735: 3730: 3725: 3715: 3714: 3708: 3707: 3705: 3704: 3694: 3683: 3680: 3679: 3677: 3676: 3671: 3669:Terminal value 3666: 3661: 3656: 3651: 3646: 3641: 3636: 3631: 3626: 3621: 3616: 3611: 3610: 3609: 3602:Free cash flow 3599: 3594: 3589: 3584: 3579: 3574: 3573: 3572: 3562: 3557: 3552: 3547: 3542: 3536: 3534: 3528: 3527: 3524: 3523: 3521: 3520: 3515: 3513:Private equity 3510: 3505: 3500: 3495: 3490: 3485: 3480: 3474: 3472: 3466: 3465: 3463: 3462: 3457: 3456: 3455: 3445: 3440: 3435: 3430: 3425: 3420: 3415: 3410: 3405: 3400: 3395: 3390: 3385: 3380: 3375: 3370: 3365: 3360: 3355: 3350: 3345: 3340: 3335: 3330: 3324: 3322: 3314: 3313: 3311: 3310: 3305: 3300: 3295: 3290: 3285: 3280: 3275: 3270: 3269: 3268: 3258: 3253: 3248: 3243: 3238: 3233: 3228: 3223: 3218: 3212: 3210: 3201: 3193: 3192: 3190: 3189: 3184: 3179: 3174: 3169: 3164: 3159: 3154: 3149: 3144: 3142:Mezzanine debt 3139: 3134: 3128: 3126: 3120: 3119: 3110: 3108: 3107: 3100: 3093: 3085: 3078: 3077: 3071: 3058: 3052: 3039: 3034:978-1782720959 3033: 3016: 3011:978-1119540786 3010: 2997: 2992:978-0471794646 2991: 2981:. New Jersey: 2974: 2969:978-0470660928 2968: 2955: 2950:978-0471654643 2949: 2936: 2931:978-0750657228 2930: 2913: 2908:978-3540422884 2907: 2894: 2889:978-0470744895 2888: 2871: 2866:978-1849965996 2865: 2848: 2842: 2832:. New Jersey: 2825: 2819: 2806: 2801:978-1137374653 2800: 2787: 2782:978-0071389976 2781: 2764: 2758: 2741: 2735: 2722: 2716: 2699: 2693: 2673: 2668:978-0470855096 2667: 2654: 2648: 2638:. New Jersey: 2631: 2625: 2609:Fabio Mercurio 2605:Brigo, Damiano 2601: 2596:978-1567202878 2595: 2574: 2568: 2541: 2540: 2534: 2517: 2511: 2494: 2488: 2471: 2458: 2453:978-0071808507 2452: 2435: 2430:978-1394157785 2429: 2412: 2406: 2389: 2383: 2366: 2361:978-1118558768 2360: 2347: 2342:978-1111972288 2341: 2328: 2322: 2305: 2299: 2286: 2280: 2263: 2257: 2244: 2230: 2215: 2209: 2192: 2172: 2153: 2148:978-1615470662 2147: 2130: 2116: 2083: 2082: 2076: 2063: 2058:978-0735669130 2057: 2040: 2034: 2021: 2015: 1991: 1985: 1965: 1959: 1942: 1936: 1915: 1909: 1886: 1884: 1881: 1878: 1877: 1836: 1804: 1801:978-0470406755 1778: 1760: 1730: 1710: 1697: 1627: 1598: 1584:Michael Jensen 1576: 1561: 1548: 1529: 1507: 1493: 1473: 1459: 1439: 1417: 1397: 1384: 1367: 1351: 1336: 1313: 1289: 1264: 1249: 1229: 1195: 1176: 1175: 1173: 1170: 1168: 1167: 1162: 1157: 1152: 1147: 1142: 1137: 1132: 1127: 1122: 1117: 1112: 1107: 1102: 1100:Economic model 1097: 1092: 1086: 1084: 1081: 1072: 1069: 1048: 1045: 1017:for portfolios 991:Emanuel Derman 968:or both. This 785: 784: 767: 762: 748:Credit scoring 745: 731: 696:stress testing 669: 655: 650: 605: 596: 574:interest rates 570: 552: 530:their "Greeks" 526:Option pricing 475: 472: 443:asset turnover 412:best practices 308:exchange rates 296: 295: 290: 268: 249: 216: 209:finance leases 203:(including of 201:ratio analysis 194: 177: 176:) calculations 163: 142: 132: 72: 69: 67:applications. 26: 24: 14: 13: 10: 9: 6: 4: 3: 2: 3755: 3744: 3741: 3739: 3736: 3734: 3731: 3729: 3726: 3724: 3721: 3720: 3718: 3703: 3695: 3693: 3685: 3684: 3681: 3675: 3672: 3670: 3667: 3665: 3662: 3660: 3657: 3655: 3652: 3650: 3647: 3645: 3642: 3640: 3637: 3635: 3632: 3630: 3627: 3625: 3622: 3620: 3617: 3615: 3612: 3608: 3605: 3604: 3603: 3600: 3598: 3595: 3593: 3590: 3588: 3585: 3583: 3580: 3578: 3575: 3571: 3568: 3567: 3566: 3563: 3561: 3558: 3556: 3553: 3551: 3548: 3546: 3543: 3541: 3538: 3537: 3535: 3533: 3529: 3519: 3516: 3514: 3511: 3509: 3506: 3504: 3501: 3499: 3496: 3494: 3491: 3489: 3486: 3484: 3481: 3479: 3476: 3475: 3473: 3471: 3467: 3461: 3458: 3454: 3451: 3450: 3449: 3446: 3444: 3441: 3439: 3436: 3434: 3431: 3429: 3426: 3424: 3421: 3419: 3416: 3414: 3411: 3409: 3406: 3404: 3401: 3399: 3396: 3394: 3391: 3389: 3386: 3384: 3381: 3379: 3376: 3374: 3371: 3369: 3366: 3364: 3361: 3359: 3356: 3354: 3351: 3349: 3346: 3344: 3341: 3339: 3336: 3334: 3331: 3329: 3326: 3325: 3323: 3321: 3315: 3309: 3306: 3304: 3301: 3299: 3296: 3294: 3291: 3289: 3286: 3284: 3281: 3279: 3276: 3274: 3271: 3267: 3264: 3263: 3262: 3259: 3257: 3254: 3252: 3249: 3247: 3244: 3242: 3239: 3237: 3234: 3232: 3229: 3227: 3224: 3222: 3221:Book building 3219: 3217: 3214: 3213: 3211: 3209: 3205: 3202: 3194: 3188: 3185: 3183: 3180: 3178: 3175: 3173: 3170: 3168: 3165: 3163: 3160: 3158: 3155: 3153: 3150: 3148: 3145: 3143: 3140: 3138: 3135: 3133: 3130: 3129: 3127: 3125: 3121: 3117: 3113: 3106: 3101: 3099: 3094: 3092: 3087: 3086: 3083: 3074: 3072:9780470824399 3068: 3064: 3059: 3055: 3053:0-470-84908-8 3049: 3045: 3040: 3036: 3030: 3026: 3022: 3017: 3013: 3007: 3003: 2998: 2994: 2988: 2984: 2980: 2975: 2971: 2965: 2961: 2956: 2952: 2946: 2942: 2937: 2933: 2927: 2923: 2919: 2914: 2910: 2904: 2900: 2895: 2891: 2885: 2881: 2877: 2872: 2868: 2862: 2858: 2854: 2849: 2845: 2843:0-471-49922-6 2839: 2835: 2831: 2826: 2822: 2816: 2812: 2807: 2803: 2797: 2793: 2788: 2784: 2778: 2774: 2770: 2765: 2761: 2755: 2751: 2747: 2742: 2738: 2732: 2728: 2723: 2719: 2717:0-471-69900-4 2713: 2709: 2705: 2700: 2696: 2690: 2686: 2682: 2678: 2674: 2670: 2664: 2660: 2655: 2651: 2649:0-471-96651-7 2645: 2641: 2637: 2632: 2628: 2622: 2618: 2614: 2610: 2606: 2602: 2598: 2592: 2588: 2584: 2580: 2575: 2571: 2569:9781439829578 2565: 2561: 2557: 2553: 2548: 2547: 2546: 2545: 2537: 2535:0-07-140210-1 2531: 2527: 2523: 2518: 2514: 2512:0-12-686040-8 2508: 2504: 2501:. Amsterdam: 2500: 2495: 2491: 2485: 2481: 2477: 2472: 2468: 2464: 2459: 2455: 2449: 2445: 2441: 2436: 2432: 2426: 2422: 2418: 2413: 2409: 2403: 2399: 2395: 2390: 2386: 2380: 2376: 2372: 2367: 2363: 2357: 2353: 2348: 2344: 2338: 2334: 2329: 2325: 2323:0-7339-8474-6 2319: 2315: 2311: 2306: 2302: 2296: 2292: 2287: 2283: 2277: 2273: 2269: 2264: 2260: 2258:9781843745488 2254: 2250: 2245: 2241: 2237: 2233: 2227: 2223: 2222: 2216: 2212: 2206: 2202: 2198: 2193: 2189: 2183: 2175: 2169: 2165: 2161: 2160: 2154: 2150: 2144: 2140: 2136: 2131: 2127: 2123: 2119: 2113: 2109: 2105: 2101: 2097: 2096: 2090: 2089: 2088: 2087: 2079: 2073: 2069: 2064: 2060: 2054: 2050: 2046: 2041: 2037: 2035:9780470275603 2031: 2027: 2022: 2018: 2012: 2008: 2004: 2000: 1996: 1992: 1988: 1982: 1978: 1974: 1970: 1966: 1962: 1960:0-19-530150-1 1956: 1952: 1948: 1943: 1939: 1937:0-585-13223-2 1933: 1929: 1924: 1923: 1916: 1912: 1906: 1902: 1898: 1893: 1892: 1891: 1890: 1882: 1873: 1869: 1864: 1859: 1855: 1851: 1847: 1840: 1837: 1826:on 2010-12-07 1822: 1815: 1808: 1805: 1802: 1798: 1795: 1791: 1787: 1782: 1779: 1775: 1774: 1769: 1764: 1761: 1757: 1753: 1750: 1749: 1744: 1743:Mark S. Joshi 1739: 1737: 1735: 1731: 1727: 1724: 1720: 1714: 1711: 1707: 1701: 1698: 1693: 1689: 1685: 1681: 1677: 1673: 1666: 1658: 1654: 1650: 1646: 1639: 1631: 1628: 1620: 1616: 1609: 1602: 1599: 1595: 1591: 1590: 1585: 1580: 1577: 1573: 1572: 1565: 1562: 1558: 1552: 1549: 1545: 1544: 1539: 1533: 1530: 1526: 1522: 1521: 1516: 1511: 1508: 1496: 1490: 1486: 1485: 1477: 1474: 1462: 1456: 1452: 1451: 1443: 1440: 1436: 1432: 1429: 1428:Best Practice 1424: 1422: 1418: 1414: 1410: 1407: 1401: 1398: 1394: 1388: 1385: 1381: 1378: 1377: 1371: 1368: 1365: 1361: 1355: 1352: 1347: 1343: 1339: 1333: 1329: 1328: 1320: 1318: 1314: 1310: 1306: 1302: 1298: 1293: 1290: 1279: 1275: 1268: 1265: 1252: 1246: 1242: 1241: 1233: 1230: 1225: 1221: 1217: 1213: 1206: 1199: 1196: 1191: 1184: 1182: 1178: 1171: 1166: 1163: 1161: 1158: 1156: 1153: 1151: 1148: 1146: 1143: 1141: 1138: 1136: 1133: 1131: 1128: 1126: 1123: 1121: 1118: 1116: 1113: 1111: 1108: 1106: 1103: 1101: 1098: 1096: 1093: 1091: 1088: 1087: 1082: 1080: 1076: 1070: 1068: 1066: 1062: 1058: 1054: 1046: 1044: 1042: 1038: 1034: 1030: 1026: 1022: 1018: 1014: 1010: 1006: 1005:mathematical- 1002: 1001: 996: 992: 987: 983: 979: 977: 973: 972: 967: 962: 960: 956: 952: 948: 944: 940: 936: 932: 928: 924: 920: 916: 912: 907: 905: 901: 897: 893: 889: 885: 881: 877: 873: 869: 865: 861: 857: 852: 850: 846: 842: 838: 834: 830: 826: 822: 818: 814: 810: 806: 802: 798: 794: 790: 783: 779: 775: 771: 768: 766: 763: 761: 757: 753: 749: 746: 744: 740: 736: 732: 729: 725: 721: 717: 713: 709: 705: 701: 697: 693: 689: 685: 681: 677: 676:value at risk 673: 670: 667: 663: 659: 656: 654: 651: 649: 645: 641: 637: 633: 629: 625: 621: 617: 613: 609: 606: 604: 600: 597: 595: 594:credit spread 591: 590:HJM framework 587: 583: 579: 578:bootstrapping 575: 571: 569: 565: 561: 558:, especially 557: 553: 550: 547:models - and 546: 542: 538: 535: 534:accommodating 531: 527: 524: 523: 522: 519: 517: 513: 509: 505: 501: 497: 493: 485: 480: 473: 471: 468: 464: 460: 456: 452: 448: 444: 440: 436: 432: 428: 423: 421: 417: 413: 409: 405: 401: 397: 392: 390: 386: 382: 378: 374: 370: 366: 362: 358: 353: 351: 347: 343: 342:deterministic 339: 338:discrete time 335: 331: 327: 323: 319: 318: 313: 309: 305: 301: 294: 291: 289: 285: 281: 280:Cost analysis 277: 273: 269: 266: 262: 258: 254: 250: 248: 244: 240: 236: 232: 228: 224: 220: 217: 214: 210: 206: 202: 198: 195: 193: 189: 185: 181: 178: 175: 171: 167: 164: 162: 158: 154: 150: 146: 143: 140: 136: 133: 131: 127: 123: 119: 116: 115: 114: 111: 109: 105: 101: 97: 93: 85: 81: 77: 70: 68: 66: 62: 56: 54: 50: 46: 42: 38: 34: 30: 19: 3644:Real options 3596: 3460:Tender offer 3320:acquisitions 3308:Underwriting 3293:Rights issue 3196:Transactions 3062: 3043: 3020: 3001: 2978: 2959: 2940: 2917: 2898: 2875: 2852: 2829: 2810: 2794:. Springer. 2791: 2768: 2745: 2726: 2703: 2680: 2658: 2635: 2612: 2578: 2551: 2543: 2542: 2524:. New York: 2521: 2498: 2475: 2462: 2442:. New York: 2439: 2416: 2393: 2370: 2351: 2332: 2309: 2290: 2267: 2248: 2220: 2196: 2158: 2134: 2094: 2085: 2084: 2067: 2044: 2025: 2005:. New York: 2002: 1999:Sang Bin Lee 1972: 1949:. New York: 1946: 1921: 1896: 1888: 1887: 1883:Bibliography 1856:(1): 49–62. 1853: 1849: 1839: 1828:. Retrieved 1821:the original 1807: 1793: 1786:Nassim Taleb 1781: 1772: 1763: 1747: 1725: 1719:this problem 1713: 1700: 1675: 1671: 1648: 1644: 1630: 1601: 1588: 1579: 1570: 1564: 1551: 1542: 1532: 1519: 1515:Peter Coffee 1510: 1498:. Retrieved 1483: 1476: 1464:. Retrieved 1449: 1442: 1415:, fimodo.com 1400: 1387: 1375: 1370: 1354: 1326: 1297:Confidential 1292: 1281:. Retrieved 1277: 1267: 1254:. Retrieved 1239: 1232: 1215: 1211: 1198: 1155:Profit model 1077: 1074: 1050: 1031:. See also 1025:Nassim Taleb 998: 995:Paul Wilmott 980: 969: 963: 945:, including 908: 853: 799:, entailing 786: 765:Real options 752:provisioning 644:Merton model 582:multi-curves 549:multi-curves 520: 495: 489: 458: 439:fixed assets 426: 424: 393: 354: 321: 315: 303: 297: 168:, including 112: 99: 98:profession, 89: 57: 32: 31: 29: 3418:Squeeze-out 3388:Proxy fight 3318:Mergers and 3231:Bought deal 3162:Senior debt 2773:McGraw-Hill 2526:McGraw-Hill 2444:McGraw-Hill 1723:John Hull's 1500:12 November 1466:12 November 1256:12 November 1135:Model audit 1013:for options 913:); custom 880:mathematics 872:engineering 803:, advanced 680:parametric- 608:Credit risk 556:derivatives 420:model audit 408:Lotus 1-2-3 400:spreadsheet 387:; see also 261:impairment- 80:Spreadsheet 3717:Categories 3664:Tax shield 3624:Mismarking 3428:Stock swap 3378:Pitch book 3348:Divestment 3226:Bookrunner 3147:Pari passu 3025:Risk Books 2855:. London: 2748:. London: 2556:Boca Raton 2478:. London: 2465:. London: 2240:1264716849 2199:. London: 2162:. Oxford: 2077:0470807962 1995:Ho, Thomas 1899:. London: 1830:2010-06-15 1346:1264716849 1283:2023-03-19 1172:References 971:Model risk 864:statistics 793:continuous 789:stochastic 684:historical 504:is between 447:debt level 431:line items 330:unit costs 317:parameters 205:operating- 96:accounting 71:Accounting 3639:Pure play 3532:Valuation 3398:Sell side 3261:Greenshoe 3004:. Wiley. 2560:CRC Press 2182:cite book 2126:227164870 1928:MIT Press 1872:256438018 1692:154138333 1651:: 49–72. 1218:: 67–84. 1065:Microsoft 1053:Microsoft 982:Criticism 807:(such as 712:convexity 682:and / or 648:KMV model 322:variables 304:specifies 267:-modeling 265:provision 153:analytics 145:Budgeting 45:financial 3470:Leverage 3448:Takeover 3343:Demerger 3328:Buy side 2857:Springer 2679:(1998). 2611:(2006). 2583:Westport 2503:Elsevier 2100:Springer 2001:(2004). 1971:(2012). 1770:(N.D.). 1752:Archived 1619:Archived 1586:(2001). 1517:(2004). 1431:Archived 1409:Archived 1083:See also 947:QuantLib 929:such as 708:duration 94:and the 3453:Reverse 3438:Synergy 3278:Pre-IPO 3266:Reverse 3187:Warrant 2587:Praeger 1889:General 1788:(2009). 978:arena. 966:hedging 919:Fortran 868:physics 776:(DFA), 449:and/or 429:, i.e. 427:outputs 223:M&A 213:R&D 82:-based 53:project 3069:  3050:  3031:  3008:  2989:  2966:  2947:  2928:  2905:  2886:  2863:  2840:  2817:  2798:  2779:  2756:  2733:  2714:  2691:  2665:  2646:  2623:  2593:  2566:  2532:  2509:  2486:  2450:  2427:  2404:  2381:  2358:  2339:  2320:  2297:  2278:  2255:  2238:  2228:  2207:  2170:  2145:  2124:  2114:  2074:  2055:  2032:  2013:  1983:  1957:  1934:  1907:  1870:  1799:  1721:(from 1690:  1536:Prof. 1491:  1457:  1344:  1334:  1247:  931:MATLAB 923:Python 902:; the 704:Greeks 614:, and 554:Other 539:- via 459:inputs 453:. See 211:, and 172:(i.e. 3177:Stock 2983:Wiley 2880:Wiley 2834:Wiley 2708:Wiley 2685:Wiley 2640:Wiley 2421:Wiley 2398:Wiley 2375:Wiley 2139:Wiley 2122:S2CID 1977:Wiley 1868:S2CID 1824:(PDF) 1817:(PDF) 1688:S2CID 1668:(PDF) 1641:(PDF) 1622:(PDF) 1611:(PDF) 1525:eWeek 1208:(PDF) 925:, or 860:Ph.D. 778:UIBFM 541:local 326:wages 41:model 3114:and 3067:ISBN 3048:ISBN 3029:ISBN 3006:ISBN 2987:ISBN 2964:ISBN 2945:ISBN 2926:ISBN 2903:ISBN 2884:ISBN 2861:ISBN 2838:ISBN 2815:ISBN 2796:ISBN 2777:ISBN 2754:ISBN 2731:ISBN 2712:ISBN 2689:ISBN 2663:ISBN 2644:ISBN 2621:ISBN 2591:ISBN 2564:ISBN 2530:ISBN 2507:ISBN 2484:ISBN 2448:ISBN 2425:ISBN 2402:ISBN 2379:ISBN 2356:ISBN 2337:ISBN 2318:ISBN 2295:ISBN 2276:ISBN 2253:ISBN 2236:OCLC 2226:ISBN 2205:ISBN 2188:link 2168:ISBN 2143:ISBN 2112:ISBN 2072:ISBN 2053:ISBN 2030:ISBN 2011:ISBN 1981:ISBN 1955:ISBN 1932:ISBN 1905:ISBN 1797:ISBN 1502:2011 1489:ISBN 1468:2011 1455:ISBN 1342:OCLC 1332:ISBN 1258:2011 1245:ISBN 1059:and 1039:and 1027:and 1015:and 1007:and 993:and 791:and 758:and 750:and 724:CS01 716:DV01 688:CVaR 660:and 566:and 375:and 373:CIIA 348:and 263:and 207:and 186:and 174:WACC 151:and 137:and 120:and 2104:doi 1858:doi 1680:doi 1653:doi 1220:doi 921:or 915:C++ 911:VBA 904:CQF 898:or 882:or 728:JTD 720:KRD 706:, 694:), 692:EVT 632:PFE 628:LGD 620:EAD 618:: 603:XVA 490:In 377:CFA 369:MSF 367:or 365:MBA 312:tax 239:IPO 235:LBO 147:: 90:In 39:(a 3719:: 3027:. 3023:. 2985:. 2924:. 2920:. 2882:. 2859:. 2836:. 2775:. 2771:. 2752:. 2710:. 2687:. 2642:. 2619:. 2607:; 2589:. 2585:: 2581:. 2562:. 2558:: 2554:. 2528:. 2505:. 2482:. 2446:. 2423:. 2400:. 2377:. 2316:. 2274:. 2234:. 2203:. 2184:}} 2180:{{ 2166:. 2141:. 2137:. 2120:. 2110:. 2102:. 2051:. 2047:. 2009:. 1997:; 1979:. 1953:. 1930:. 1903:. 1866:. 1854:30 1852:. 1848:. 1745:, 1733:^ 1686:. 1676:37 1674:. 1670:. 1661:; 1649:85 1647:. 1643:. 1617:. 1613:. 1592:, 1540:. 1523:, 1420:^ 1362:, 1340:. 1316:^ 1307:, 1276:. 1216:48 1214:. 1210:. 1180:^ 1067:. 1043:. 1035:, 961:. 941:/ 917:, 878:, 874:, 870:, 866:, 851:. 847:; 843:; 839:; 835:; 815:, 811:, 780:, 772:: 754:; 737:, 726:, 722:, 718:, 714:, 710:, 698:, 690:, 686:, 674:: 646:, 642:, 638:; 636:EE 634:, 630:, 626:, 624:PD 622:, 610:, 588:, 584:, 580:/ 562:, 543:/ 532:( 494:, 445:, 437:, 422:. 352:. 328:, 310:, 286:, 282:, 278:, 274:, 259:; 255:, 247:P3 245:, 241:, 237:, 233:, 231:VC 229:, 227:PE 225:, 221:: 199:/ 190:; 182:; 159:; 155:; 110:. 3104:e 3097:t 3090:v 3075:. 3056:. 3037:. 3014:. 2995:. 2972:. 2953:. 2934:. 2911:. 2892:. 2869:. 2846:. 2823:. 2804:. 2785:. 2762:. 2739:. 2720:. 2697:. 2671:. 2652:. 2629:. 2599:. 2572:. 2538:. 2515:. 2492:. 2469:. 2456:. 2433:. 2410:. 2387:. 2364:. 2345:. 2326:. 2303:. 2284:. 2261:. 2242:. 2213:. 2190:) 2176:. 2151:. 2128:. 2106:: 2080:. 2061:. 2038:. 2019:. 1989:. 1963:. 1940:. 1913:. 1874:. 1860:: 1833:. 1776:. 1758:. 1694:. 1682:: 1659:. 1655:: 1527:. 1504:. 1470:. 1348:. 1286:. 1260:. 1226:. 1222:: 1192:. 730:) 702:( 678:( 668:. 576:( 551:) 324:( 215:) 20:)

Index

Modeling and analysis of financial markets
abstract representation
model
financial
mathematical model
project
corporate finance
quantitative finance

Spreadsheet
Cash Flow Projection
corporate finance
accounting
financial statement forecasting
financial analysis
Business valuation
stock valuation
discounted cash flow
other valuation approaches
Scenario planning
management decision making
Budgeting
revenue forecasting
analytics
production budgeting
operations budgeting
Capital budgeting
cost of capital
WACC
Cash flow forecasting

Text is available under the Creative Commons Attribution-ShareAlike License. Additional terms may apply.

↑