Bøger af John Y. Campbell

Our current social security system operates on a pay-as-you-go basis; benefits are paid almost entirely out of current revenues. As the ratio of retirees to taxpayers increases, concern about the high costs of providing benefits in a pay-as-you-go system has led economists to explore other options. One involves "prefunding," in which a person's withholdings are invested in financial instruments, such as stocks and bonds, the eventual returns from which would fund his or her retirement. The risks such a system would introduce--such as the volatility in the market prices of investment assets--are the focus of this offering from the NBER. Exploring the issues involved in measuring risk and developing models to reflect the risks of various investment-based systems, economists evaluate the magnitude of the risks that both retirees and taxpayers would assume. The insights that emerge show that the risk is actually moderate relative to the improved return, as well as being balanced by the ability of an investment-based system to adapt to differences in individual preferences and conditions.

Economic growth, low inflation, and financial stability are among the goals of policy makers, and central banks such as Federal Reserve are key institutions for achieving these goals. This title examines how central bankers determine their policy prescriptions with reference to the fluctuating housing market, and balance of debt and credit.

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 and the Arbitrage Pricing Theory, the term structure of interest rates, dynamic models of economic equilibrium, and nonlinear financial models such as ARCH, neural networks, statistical fractals, and chaos theory. Each chapter develops statistical techniques within the context of a particular financial application. This exciting new text contains a unique and accessible combination of theory and practice, bringing state-of-the-art statistical techniques to the forefront of financial applications. Each chapter also includes a discussion of recent empirical evidence, for example, the rejection of the Random Walk Hypothesis, as well as problems designed to help readers incorporate what they have read into their own applications.