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Bayesian Methods in Finance
Bayesian Methods in Finance provides a detailed overview of the theory of Bayesian methods and explains their real-world applications to financial modeling. While the principles and concepts explained throughout the book can be used in financial modeling and decision making in general, the authors focus on portfolio management and market risk management—since these are the areas in finance where Bayesian methods have had the greatest penetration to date.
Portfolio Construction and Analytics
A detailed, multi-disciplinary approach to investment analytics Portfolio Construction and Analytics provides an up-to-date understanding of the analytic investment process for students and professionals alike. With complete and detailed coverage of portfolio analytics and modeling methods, this book is unique in its multi-disciplinary approach. Investment analytics involves the input of a variety of areas, and this guide provides the perspective of data management, modeling, software resources, and investment strategy to give you a truly comprehensive understanding of how today's firms approach the process. Real-world examples provide insight into analytics performed with vendor software, a...
Machine Learning for Financial Risk Management with Python
Financial risk management is quickly evolving with the help of artificial intelligence. With this practical book, developers, programmers, engineers, financial analysts, and risk analysts will explore Python-based machine learning and deep learning models for assessing financial risk. You'll learn how to compare results from ML models with results obtained by traditional financial risk models. Author Abdullah Karasan helps you explore the theory behind financial risk assessment before diving into the differences between traditional and ML models. Review classical time series applications and compare them with deep learning models Explore volatility modeling to measure degrees of risk, using ...
Active Private Equity Real Estate Strategy
Proven private equity real estate investing strategies The subprime fallout and credit crisis have triggered a major transition in U.S. real estate. With tightening lending and underwriting standards, speculative investments and construction projects are likely to limited, resulting in constrained supply and healthier fundamentals over the long term. Looking forward, market participants anticipate that the coming years will be fraught with challenges as well as opportunities. Active Private Equity Real Estate Strategy is a collection of abridged market analyses, forecasts, and strategy papers from the ING Clarion Partners' Research & Investment Strategy (RIS) group. Divided into two comprehe...
Robust Equity Portfolio Management, + Website
A comprehensive portfolio optimization guide, with provided MATLAB code Robust Equity Portfolio Management + Website offers the most comprehensive coverage available in this burgeoning field. Beginning with the fundamentals before moving into advanced techniques, this book provides useful coverage for both beginners and advanced readers. MATLAB code is provided to allow readers of all levels to begin implementing robust models immediately, with detailed explanations and applications in the equity market included to help you grasp the real-world use of each technique. The discussion includes the most up-to-date thinking and cutting-edge methods, including a much-needed alternative to the trad...
Mutual Fund Performance and Performance Persistence
Peter Lückoff investigates why fund flows and manager changes act as equilibrium mechanisms and drive the performance of both previously outperforming and previously underperforming funds back to average levels.
Credit Risk Assessment
"Clark and Mingyuan start with an insightful and comprehensive description of how market participants contributed to the current crisis in the residential mortgage markets and the root causes of the crisis. They then proceed to develop a new residential mortgage lending system that can fix our broken markets because it addresses the root causes. The most impressive attributes of their new system is its commonsense return to the basics of traditional underwriting, combined with factors based on expert judgment and statistics and forward-looking attributes, all of which can be updated as markets change. The whole process is transparent to the borrower, lender, and investor." —Dean Schultz, P...
Islamic Banking in Indonesia
A comprehensive overview of key developments in Islamic banking In Islamic Banking in Indonesia, renowned economist Dr. Rifki Ismal explores current issues in Islamic banking and financial products with a particular focus on the danger of liquidity risk in Indonesia. It approaches liquidity risk from the conventional perspective of international banking standards, as well as from the Islamic banking perspective. Dr. Ismal also covers the issues of asset-liability balancing, liquidity risk index, organizational structures for managing liquidity, industrial analysis, withdrawal risk, bankruptcy risk, moral hazard risk, and market risk. Compiling all the latest academic research on liquidity ri...
Achieving Investment Excellence
Crucial methods, tactics and tools for successful pension fund management Achieving Investment Excellence offers trustees and asset managers a comprehensive handbook for improving the quality of their investments. With a stated goal of substantially and sustainably improving annual returns, this book clarifies and demystifies important concepts surrounding trustee duties and responsibilities, investment strategies, analysis, evaluation and much more. Low interest rates are making the high cost of future pension payouts fraught with tension, even as the time and knowledge required to manage these funds appropriately increases — it is no wonder that pensions are increasingly seen as a financ...
Mastering R for Quantitative Finance
This book is intended for those who want to learn how to use R's capabilities to build models in quantitative finance at a more advanced level. If you wish to perfectly take up the rhythm of the chapters, you need to be at an intermediate level in quantitative finance and you also need to have a reasonable knowledge of R.
