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[论坛首发]原版的金融数学类书籍,识货的人下 [推广有奖]

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davidoff6 发表于 2010-3-25 19:10:17 |AI写论文

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关键词:金融数学 David AVI Off 金融 数学 原版 识货

本帖被以下文库推荐

沙发
davidoff6(未真实交易用户) 发表于 2010-3-25 19:12:44

藤椅
davidoff6(未真实交易用户) 发表于 2010-3-25 19:14:36
CHAPTER 1 The Random Process and Gambling Theory 3
Independent versus Dependent Trials Processes 5
Mathematical Expectation 6
Exact Sequences, Possible Outcomes, and the
Normal Distribution 8
Possible Outcomes and Standard Deviations 11
The House Advantage 15
Mathematical Expectation Less than Zero Spells Disaster 18
Baccarat 19
Numbers 20
Pari-Mutuel Betting 21
Winning and Losing Streaks in the Random Process 24
Determining Dependency 25
The Runs Test, Z Scores, and Confidence Limits 27
The Linear Correlation Coefficient 32
CHAPTER 2 Probability Distributions 43
The Basics of Probability Distributions 43
Descriptive Measures of Distributions 45
Moments of a Distribution 47
The Normal Distribution 52
vii
viii THE HANDBOOK OF PORTFOLIO MATHEMATICS
The Central Limit Theorem 52
Working with the Normal Distribution 54
Normal Probabilities 59
Further Derivatives of the Normal 65
The Lognormal Distribution 67
The Uniform Distribution 69
The Bernoulli Distribution 71
The Binomial Distribution 72
The Geometric Distribution 78
The Hypergeometric Distribution 80
The Poisson Distribution 81
The Exponential Distribution 85
The Chi-Square Distribution 87
The Chi-Square “Test” 88
The Student’s Distribution 92
The Multinomial Distribution 95
The Stable Paretian Distribution 96
CHAPTER 3 Reinvestment of Returns and Geometric
Growth Concepts 99
To Reinvest Trading Profits or Not 99
Measuring a Good System for Reinvestment—The
Geometric Mean 103
Estimating the Geometric Mean 107
How Best to Reinvest 109
CHAPTER 4 Optimal f 117
Optimal Fixed Fraction 117
Asymmetrical Leverage 118
Kelly 120
Finding the Optimal f by the Geometric Mean 122
To Summarize Thus Far 125
How to Figure the Geometric Mean Using
Spreadsheet Logic 127
Geometric Average Trade

板凳
davidoff6(未真实交易用户) 发表于 2010-3-25 19:15:29
CONTENTS ix
A Simpler Method for Finding the Optimal f 128
The Virtues of the Optimal f 130
Why You Must Know Your Optimal f 132
Drawdown and Largest Loss with f 141
Consequences of Straying Too Far
from the Optimal f 145
Equalizing Optimal f 151
Finding Optimal f via Parabolic Interpolation 157
The Next Step 161
Scenario Planning 162
Scenario Spectrums 173
CHAPTER 5 Characteristics of Optimal f 175
Optimal f for Small Traders Just Starting Out 175
Threshold to Geometric 177
One Combined Bankroll versus Separate Bankrolls 180
Treat Each Play as If Infinitely Repeated 182
Efficiency Loss in Simultaneous Wagering or
Portfolio Trading 185
Time Required to Reach a Specified Goal and the
Trouble with Fractional f 188
Comparing Trading Systems 192
Too Much Sensitivity to the Biggest Loss 193
The Arc Sine Laws and Random Walks 194
Time Spent in a Drawdown 197
The Estimated Geometric Mean (or How the Dispersion
of Outcomes Affects Geometric Growth) 198
The Fundamental Equation of Trading 202
Why Is f Optimal? 203
CHAPTER 6 Laws of Growth, Utility, and Finite
Streams 207
Maximizing Expected Average Compound Growth 209
Utility Theory 217
The Expected Utility Theorem 218
Characteristics of Utility Preference Functions 218
x THE HANDBOOK OF PORTFOLIO MATHEMATICS
Alternate Arguments to Classical Utility Theory 221
Finding Your Utility Preference Curve 222
Utility and the New Framework 226
CHAPTER 7 Classical Portfolio Construction 231
Modern Portfolio Theory 231
The Markowitz Model 232
Definition of the Problem 235
Solutions of Linear Systems Using Row-Equivalent Matrices 246
Interpreting the Results 252
CHAPTER 8 The Geometry of Mean Variance Portfolios 261
The Capital Market Lines (CMLs) 261
The Geometric Efficient Frontier 266
Unconstrained Portfolios 273
How Optimal f Fits In 277
Completing the Loop 281
CHAPTER 9 The Leverage Space Model 287
Why This New Framework Is Better 288
Multiple Simultaneous Plays 299
A Comparison to the Old Frameworks 302
Mathematical Optimization 303
The Objective Function 305
Mathematical Optimization versus Root Finding 312
Optimization Techniques 313
The Genetic Algorithm 317
Important Notes 321
CHAPTER 10 The Geometry of Leverage
Space Portfolios 323
Dilution 323
Reallocation 333
Portfolio Insurance and Optimal f 335
Upside Limit on Active Equity and the Margin Constraint 341
CONTENTS xi
f Shift and Constructing a Robust Portfolio 342
Tailoring a Trading Program through Reallocation 343
Gradient Trading and Continuous Dominance 345
Important Points to the Left of the Peak in the n + 1
Dimensional Landscape 351
Drawdown Management and the New Framework 359
PART II Practice 365
CHAPTER 11 What the Professionals Have Done 367
Commonalities 368
Differences 368
Further Characteristics of Long-Term Trend Followers 369
CHAPTER 12 The Leverage Space Portfolio Model in
the Real World 377
Postscript 415
Index 417

报纸
问题破(未真实交易用户) 发表于 2010-3-25 19:18:38
This is the bloody robbery!  
Jesus!

地板
davidoff6(未真实交易用户) 发表于 2010-3-25 21:48:48
自己的帖子自己顶,

7
Enthuse(真实交易用户) 发表于 2010-3-25 21:53:57
too expensive...

8
davidoff6(未真实交易用户) 发表于 2010-3-25 22:26:42
Enthuse 发表于 2010-3-25 21:53
too expensive...
嫌贵你怎么还是下载了 看来资料的诱惑力很大啊

9
davidoff6(未真实交易用户) 发表于 2010-3-26 12:49:38
每天把自己的帖子顶一下,

10
hunder(未真实交易用户) 发表于 2010-9-4 07:12:58
市场是可以被预测的,因为这个世界的绝大多数人的行为是可以预测的。我们是人,我们不是神。

就算我们是神,神也是顺应天道,因此,神的行为也是可以预测的,只要你知道天道。

如果个体的行为,你觉得不能预测,我是说你觉得,而事实是可以的。而群体的行为是可以预测的,因为有人性在。

本文来自: 人大经济论坛 投资实务分析 版,详细出处参考:http://www.pinggu.org/bbs/viewth ... =1&from^^uid=8165
研究方向:不确定性决策行为与制度安排 根据你所看到的,作出交易决定!从容面对不确定性,轻松进行即时交易。 我的证券投资社区:5in资产管理

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