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Página 21
... terminal distribution of V is normal , the real option value can be calculated using the unit normal linear loss ... is the standard normal density function N ROV = σ'LN ( D ) where D = \ m ' - 1 \ σ ' where $ ( a ) = ƒƒ1 ( x ) dx .
... terminal distribution of V is normal , the real option value can be calculated using the unit normal linear loss ... is the standard normal density function N ROV = σ'LN ( D ) where D = \ m ' - 1 \ σ ' where $ ( a ) = ƒƒ1 ( x ) dx .
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Computation of the bivariate normal inte- gral . Mathematics of Computation , 32 : 277–279 , Jan- uary 1978 . [ 19 ] Z. Drezner and G. O. Wesolowsky . The computation of the bivariate normal integral . Journal of Statistical Computation ...
Computation of the bivariate normal inte- gral . Mathematics of Computation , 32 : 277–279 , Jan- uary 1978 . [ 19 ] Z. Drezner and G. O. Wesolowsky . The computation of the bivariate normal integral . Journal of Statistical Computation ...
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VaR calculations made using the empirically fitted distribution of extremes are compared to VaR calculations based on the normal and historical distributions ( Table 3 ) . VaR calculations based on the fitted distributions of extreme ...
VaR calculations made using the empirically fitted distribution of extremes are compared to VaR calculations based on the normal and historical distributions ( Table 3 ) . VaR calculations based on the fitted distributions of extreme ...
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Contenido
BANKRUPTCY PREDICTION WITH LEAST | 1 |
SIMPLE DECISION MAKING CRITERION AS REAL OPTIONS | 17 |
INCLUDING LIFETIME AND OPTIONS IN RESIDUAL INCOME INDICATORS | 31 |
Derechos de autor | |
Otras 6 secciones no mostradas
Otras ediciones - Ver todas
Proceedings of the IEEE/IAFE 1995 Computational Intelligence for Financial ... Vista de fragmentos - 1995 |
Proceedings of the IEEE/IAFE 1995 Computational Intelligence for Financial ... Vista de fragmentos - 1995 |
Proceedings of the IEEE/IAFE 1995 Computational Intelligence for Financial ... Vista de fragmentos - 1995 |
Términos y frases comunes
agents algorithm analysis applied approach approximation asset assume average bond bound calculated changes compared computed conditional consider correlation corresponding cost currency decision defined denote depends derived deviation distribution dynamics Economics effect equation error estimated example exchange rate expected experiment Figure fitness forecast function future genetic given hedging implied increase indicators input interest investment Journal linear mean measure method moving neural network nonlinear normal Note observations obtained operating optimal option parameters patterns performance period points portfolio positive prediction present probability problem profit Programming random ratio REFERENCES respectively returns risk rules sample selection shows simulation square standard statistical step stochastic stock price strategies Table term tion trading trend University variables vector volatility weights
Información bibliográfica
| Título | Proceedings of the IEEE/IAFE 1995 Computational Intelligence for Financial Engineering (CIFEr): April 9-11, 1995, New York City, Crowne Plaza Manhattan |
| Colaboradores | IEEE Computer Society, IEEE Neural Networks Council, International Association of Financial Engineers |
| Editor | IEEE Service Center, 1995 |
| Procedencia del original | Universidad de Michigan |
| Digitalizado | 11 Ene. 2008 |
| ISBN | 0780321464, 9780780321465 |
| Largo | 192 páginas |
| Exportar cita | BiBTeX EndNote RefMan |