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Portfolio Selection and Asset Pricing
In our daily life, almost every family owns a portfolio of assets. This portfolio could contain real assets such as a car, or a house, as well as financial assets such as stocks, bonds or futures. Portfolio theory deals with how to form a satisfied portfolio among an enormous number of assets. Originally proposed by H. Markowtiz in 1952, the mean-variance methodology for portfolio optimization has been central to the research activities in this area and has served as a basis for the development of modem financial theory during the past four decades. Follow-on work with this approach has born much fruit for this field of study. Among all those research fruits, the most important is the capita...
The Econometrics of Financial Markets
The past twenty years have seen an extraordinary growth in the use of quantitative methods in financial markets. Finance professionals now routinely use sophisticated statistical techniques in portfolio management, proprietary trading, risk management, financial consulting, and securities regulation. This graduate-level textbook is intended for PhD students, advanced MBA students, and industry professionals interested in the econometrics of financial modeling. The book covers the entire spectrum of empirical finance, including: the predictability of asset returns, tests of the Random Walk Hypothesis, the microstructure of securities markets, event analysis, the Capital Asset Pricing Model an...
Austerity
A revealing look at austerity measures that succeed—and those that don't Fiscal austerity is hugely controversial. Opponents argue that it can trigger downward growth spirals and become self-defeating. Supporters argue that budget deficits have to be tackled aggressively at all times and at all costs. Bringing needed clarity to one of today's most challenging economic issues, three leading policy experts cut through the political noise to demonstrate that there is not one type of austerity but many. Austerity assesses the relative effectiveness of tax increases and spending cuts at reducing debt, shows that austerity is not necessarily the kiss of death for political careers as is often believed, and charts a sensible approach based on data analysis rather than ideology.
Continuous-Time Models in Corporate Finance, Banking, and Insurance
Continuous-Time Models in Corporate Finance synthesizes four decades of research to show how stochastic calculus can be used in corporate finance. Combining mathematical rigor with economic intuition, Santiago Moreno-Bromberg and Jean-Charles Rochet analyze corporate decisions such as dividend distribution, the issuance of securities, and capital structure and default. They pay particular attention to financial intermediaries, including banks and insurance companies. The authors begin by recalling the ways that option-pricing techniques can be employed for the pricing of corporate debt and equity. They then present the dynamic model of the trade-off between taxes and bankruptcy costs and der...
The New Dynamic Public Finance
Optimal tax design attempts to resolve a well-known trade-off: namely, that high taxes are bad insofar as they discourage people from working, but good to the degree that, by redistributing wealth, they help insure people against productivity shocks. Until recently, however, economic research on this question either ignored people's uncertainty about their future productivities or imposed strong and unrealistic functional form restrictions on taxes. In response to these problems, the new dynamic public finance was developed to study the design of optimal taxes given only minimal restrictions on the set of possible tax instruments, and on the nature of shocks affecting people in the economy. ...
Indices, Index Funds And ETFs
Indices, index funds and ETFs are grossly inaccurate and inefficient and affect more than €120 trillion worth of securities, debts and commodities worldwide. This book analyzes the mathematical/statistical biases, misrepresentations, recursiveness, nonlinear risk and homomorphisms inherent in equity, debt, risk-adjusted, options-based, CDS and commodity indices – and by extension, associated index funds and ETFs. The book characterizes the “Popular-Index Ecosystems,” a phenomenon that provides artificial price-support for financial instruments, and can cause systemic risk, financial instability, earnings management and inflation. The book explains why indices and strategic alliances ...
Financial Economics of Insurance
An authoritative and comprehensive graduate textbook on the modern insurance sector The traditional role of insurers is to insure idiosyncratic risk through products such as life annuities, life insurance, and health insurance. With the decline of private defined benefit plans and government pension plans around the world, insurers are increasingly taking on the role of insuring market risk through minimum return guarantees. Insurers also use more complex capital management tools such as derivatives, off-balance-sheet reinsurance, and securities lending. Financial Economics of Insurance provides a unified framework to study the impact of financial and regulatory frictions as well as imperfec...
The Financial Diaries
Drawing on the groundbreaking U.S. Financial Diaries project (http://www.usfinancialdiaries.org/), which follows the lives of 235 low- and middle-income families as they navigate through a year, the authors challenge popular assumptions about how Americans earn, spend, borrow, and save-- and they identify the true causes of distress and inequality for many working Americans.
Efficiently Inefficient
Efficiently Inefficient describes the key trading strategies used by hedge funds and demystifies the secret world of active investing. Leading financial economist Lasse Heje Pedersen combines the latest research with real-world examples and interviews with top hedge fund managers to show how certain trading strategies make money - and why they sometimes don't. -- from back cover.
Machine Learning in Asset Pricing
A groundbreaking, authoritative introduction to how machine learning can be applied to asset pricing Investors in financial markets are faced with an abundance of potentially value-relevant information from a wide variety of different sources. In such data-rich, high-dimensional environments, techniques from the rapidly advancing field of machine learning (ML) are well-suited for solving prediction problems. Accordingly, ML methods are quickly becoming part of the toolkit in asset pricing research and quantitative investing. In this book, Stefan Nagel examines the promises and challenges of ML applications in asset pricing. Asset pricing problems are substantially different from the settings...
