Nonlinear Time Series Analysis of Economic and Financial Data provides an examination of the flourishing interest that has developed in this area over the past decade. The constant theme throughout this work is that standard linear time series tools leave unexamined and unexploited economically significant features in frequently used data sets. The book comprises original contributions written by specialists in the field, and offers a combination of both applied and methodological papers. It will be useful to both seasoned veterans of nonlinear time series analysis and those searching for an informative panoramic look at front-line developments in the area.

Financial Markets and the Real Economy reviews the current academic literature on the macroeconomics of finance.

In this second collection of his writings on financial markets (the first, On Exchange Rates, covered international finance), Jeffrey Frankel turns his attention to domestic markets, with special attention to how national monetary policy is handled. The decade of the 1980s left many central bankers disillusioned with monetarism, so that the question of the optimal nominal anchor remains an open one. In this second collection of his writings on financial markets (the first, On Exchange Rates, covered international finance), Jeffrey Frankel turns his attention to domestic markets, with special attention to how national monetary policy is handled. The fifteen papers are divided into three sections, each introduced by the author. They cover, respectively, optimal portfolio diversification, indicators of expected inflation, and the determination of monetary policy in the face of uncertainty. In the first section, Frankel explores what information the theory of optimal portfolio diversification can give the macroeconomist. In the second section, he considers what economic variables central bankers might use to gauge whether monetary policy is too tight or too loose. And in the final section, he looks at the range of uncertainty over policy effects and how that complicates coordination of macroeconomic policymaking. The book concludes with a sympathetic analysis of nominal GDP targeting.

Research into the equity risk premium, often considered the most important number in finance, falls into three broad groupings. First, researchers have measured the margin by which equity total returns have exceeded fixed-income or cash returns over long historical periods and have projected this measure of the equity risk premium into the future. Second, the dividend discount model—or a variant of it, such as an earnings discount model—is used to estimate the future return on an equity index, and the fixed-income or cash yield is then subtracted to arrive at an equity risk premium expectation or forecast. Third, academics have used macroeconomic techniques to estimate what premium investors might rationally require for taking the risk of equities. Current thinking emphasizes the second, or dividend discount, approach and projects an equity risk premium centered on 3½% to 4%.