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Página 12
1. in the first year R≈ 0.732 ( i.e. the average lever- age ratio of a corporate of ' CCC ' rating ) , and 2. in the fifteenth ... In Figure 2 the time - dependent target leverage ratios for different rated corporates are plotted .
1. in the first year R≈ 0.732 ( i.e. the average lever- age ratio of a corporate of ' CCC ' rating ) , and 2. in the fifteenth ... In Figure 2 the time - dependent target leverage ratios for different rated corporates are plotted .
Página 49
N 1 max W ( A ) = a ; - i = 1 i , j = 1 By defining ( x ; ) · Þ ( x ; ) as K ( xi , xj ) using the Mer- cer's theorem . The training of SVM is then defined as Assets structure Gearing Profit Ratios ( CA - STK ) / CL , PBIT / CL ...
N 1 max W ( A ) = a ; - i = 1 i , j = 1 By defining ( x ; ) · Þ ( x ; ) as K ( xi , xj ) using the Mer- cer's theorem . The training of SVM is then defined as Assets structure Gearing Profit Ratios ( CA - STK ) / CL , PBIT / CL ...
Página 364
Pt We use the Sharpe Ratio to evaluate the performance of the system for training . The Sharpe Ratio is given by : Average ( Rt ) S = Standard Deviation ( R ) ( 4 ) The standard deviation in the denominator penalizes vari- ability in ...
Pt We use the Sharpe Ratio to evaluate the performance of the system for training . The Sharpe Ratio is given by : Average ( Rt ) S = Standard Deviation ( R ) ( 4 ) The standard deviation in the denominator penalizes vari- ability in ...
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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 | |
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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 |