Handbook Of The Fundamentals Of Financial Decision Making (In 2 Parts)
Handbook Of The Fundamentals Of Financial Decision Making (In 2 Parts)

Author: Leonard C Maclean

Publisher: World Scientific

Published: 2013-05-10

Total Pages: 941

ISBN-13: 981441736X

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This handbook in two parts covers key topics of the theory of financial decision making. Some of the papers discuss real applications or case studies as well. There are a number of new papers that have never been published before especially in Part II.Part I is concerned with Decision Making Under Uncertainty. This includes subsections on Arbitrage, Utility Theory, Risk Aversion and Static Portfolio Theory, and Stochastic Dominance. Part II is concerned with Dynamic Modeling that is the transition for static decision making to multiperiod decision making. The analysis starts with Risk Measures and then discusses Dynamic Portfolio Theory, Tactical Asset Allocation and Asset-Liability Management Using Utility and Goal Based Consumption-Investment Decision Models.A comprehensive set of problems both computational and review and mind expanding with many unsolved problems are in an accompanying problems book. The handbook plus the book of problems form a very strong set of materials for PhD and Masters courses both as the main or as supplementary text in finance theory, financial decision making and portfolio theory. For researchers, it is a valuable resource being an up to date treatment of topics in the classic books on these topics by Johnathan Ingersoll in 1988, and William Ziemba and Raymond Vickson in 1975 (updated 2nd edition published in 2006).

The Kelly Capital Growth Investment Criterion
The Kelly Capital Growth Investment Criterion

Author: Leonard C. MacLean

Publisher: World Scientific

Published: 2011

Total Pages: 883

ISBN-13: 9814293490

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This volume provides the definitive treatment of fortune's formula or the Kelly capital growth criterion as it is often called. The strategy is to maximize long run wealth of the investor by maximizing the period by period expected utility of wealth with a logarithmic utility function. Mathematical theorems show that only the log utility function maximizes asymptotic long run wealth and minimizes the expected time to arbitrary large goals. In general, the strategy is risky in the short term but as the number of bets increase, the Kelly bettor's wealth tends to be much larger than those with essentially different strategies. So most of the time, the Kelly bettor will have much more wealth than these other bettors but the Kelly strategy can lead to considerable losses a small percent of the time. There are ways to reduce this risk at the cost of lower expected final wealth using fractional Kelly strategies that blend the Kelly suggested wager with cash. The various classic reprinted papers and the new ones written specifically for this volume cover various aspects of the theory and practice of dynamic investing. Good and bad properties are discussed, as are fixed-mix and volatility induced growth strategies. The relationships with utility theory and the use of these ideas by great investors are featured.

Mathematical and Statistical Methods for Actuarial Sciences and Finance
Mathematical and Statistical Methods for Actuarial Sciences and Finance

Author: Cira Perna

Publisher: Springer Science & Business Media

Published: 2012-03-08

Total Pages: 402

ISBN-13: 8847023424

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The book develops the capabilities arising from the cooperation between mathematicians and statisticians working in insurance and finance fields. It gathers some of the papers presented at the conference MAF2010, held in Ravello (Amalfi coast), and successively, after a reviewing process, worked out to this aim.

Online Portfolio Selection
Online Portfolio Selection

Author: Bin Li

Publisher: CRC Press

Published: 2018-10-30

Total Pages: 227

ISBN-13: 1482249642

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With the aim to sequentially determine optimal allocations across a set of assets, Online Portfolio Selection (OLPS) has significantly reshaped the financial investment landscape. Online Portfolio Selection: Principles and Algorithms supplies a comprehensive survey of existing OLPS principles and presents a collection of innovative strategies that leverage machine learning techniques for financial investment. The book presents four new algorithms based on machine learning techniques that were designed by the authors, as well as a new back-test system they developed for evaluating trading strategy effectiveness. The book uses simulations with real market data to illustrate the trading strategies in action and to provide readers with the confidence to deploy the strategies themselves. The book is presented in five sections that: Introduce OLPS and formulate OLPS as a sequential decision task Present key OLPS principles, including benchmarks, follow the winner, follow the loser, pattern matching, and meta-learning Detail four innovative OLPS algorithms based on cutting-edge machine learning techniques Provide a toolbox for evaluating the OLPS algorithms and present empirical studies comparing the proposed algorithms with the state of the art Investigate possible future directions Complete with a back-test system that uses historical data to evaluate the performance of trading strategies, as well as MATLAB® code for the back-test systems, this book is an ideal resource for graduate students in finance, computer science, and statistics. It is also suitable for researchers and engineers interested in computational investment. Readers are encouraged to visit the authors’ website for updates: http://olps.stevenhoi.org.

Public Investment, the Rate of Return, and Optimal Fiscal Policy
Public Investment, the Rate of Return, and Optimal Fiscal Policy

Author: Kenneth J. Arrow

Publisher: Routledge

Published: 2013-10-18

Total Pages: 253

ISBN-13: 113598882X

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This book, co-authored by the Nobel-prized economist, Kenneth Arrow, considers public expenditures in the context of modern growth theory. It analyzes optimal growth with public capital. A theory of 'controllability' is developed and injected into public economics and growth models. Originally published in 1970

The Dilemma of Regional Policy
The Dilemma of Regional Policy

Author: Stilianos Alexiadis

Publisher: Springer

Published: 2017-11-06

Total Pages: 126

ISBN-13: 3319689002

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Applying the principles of Optimal Control Theory to the problem of regional allocation of investment can be a useful tool for demonstrating how the trade-off between regional equity and overall efficiency can be overcome. This book poses the following questions: are spatial inequalities harmful for overall efficiency? How is the economist to assist the policy-maker in establishing generally applicable criteria or policies when the aims include equity as well as efficiency? Alexiadis analyses the 'equity versus efficiency' dilemma in the allocation of scarce resources, expressing the argument in mathematical terms; an issue of particular importance in development planning and programming. This is invaluable reading for final year and postgraduate students of regional, development and mathematical economics, as well as researchers, policy makers and all those working in regional development institutions.

Bandit Algorithms
Bandit Algorithms

Author: Tor Lattimore

Publisher: Cambridge University Press

Published: 2020-07-16

Total Pages: 537

ISBN-13: 1108486827

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A comprehensive and rigorous introduction for graduate students and researchers, with applications in sequential decision-making problems.