In: The journal of financial research: the journal of the Southern Finance Association and the Southwestern Finance Association, Band 10, Heft 4, S. 295-303
AbstractThis paper proposes a multiperiod certainty equivalent model of present valuation that takes a dynamic approach to valuation, as opposed to a recursive approach employed traditionally in financial economics. Assuming a flat basic, or riskless, yield curve and risk‐averse investors, the model is used to examine the potential effects of default risk on the shape of the yield curve. The shape of the yield curve is shown to be directly related to the level and time pattern of default probabilities.
This textbook is intended to fill a gap in undergraduate finance curriculums by providing an asset pricing text that is accessible for undergraduate finance students in addition to masters level business students. It offers an overview of original works on foundational asset pricing studies that follows their historical publication chronologically throughout the text. Each chapter stays close to the original works of these major authors, including quotations, examples, graphical exhibits, and empirical results. Additionally, it includes statistical concepts and methods as applied to finance. These statistical materials are crucial to learning asset pricing, which often applies statistical tests to evaluate different asset pricing models. It offers practical examples, questions, and problems to help students check their learning and better understand the fundamentals of asset pricing, alongside detailed lecture slides and an instructors manual for professors. James W. Kolari is the JP Morgan Chase Professor of Finance and Academic Director of the Global Corporate Banking Program in the Department of Finance at Texas A&M University, College Station, Texas, USA. He has taught money and capital markets as well as banking classes there since earning his PhD in finance in 1980. Over the years, he has held various appointments such as Visiting Scholar at the Federal Reserve Bank of Chicago, Fulbright Scholar to the Bank of Finland, and Senior Research Fellow at the Swedish School of Business and Economics (Hanken), Finland in addition to being a consultant to the U.S. Small Business Administration, U.S. Information Agency, and numerous banks and other organizations. With more than 100 articles published in refereed journals, numerous other papers and monographs, 25 co-authored books, and more than 200 competitive papers presented at academic conferences, he ranks in the top 1-2 percent of finance scholars in the United States. His papers have appeared in such domestic and international journals as the Journal of Finance, Journal of Business, Review of Financial Studies, Review of Economics and Statistics, Journal of Money, Credit and Banking, Journal of Banking and Finance, Critical Finance Review, Journal of Empirical Finance, Real Estate Economics, Journal of International Money and Finance, and the Scandinavian Journal of Economics. Papers in Chinese, Dutch, Finnish, Italian, Russian, and Spanish have appeared outside of the United States. He is a co-author of leading college textbooks in introductory business and commercial banking courses. Seppo Pynnonen is Professor of Statistics at the University of Vaasa, Finland and previously the Chairperson of the Department of Mathematics and Statistics. He has studied financial markets and taught various courses on statistical methodology, empirical finance, and mathematical finance covering undergraduate, graduate, and PhD levels since earning his PhD in mathematical statistics in 1988. He has published several papers in international finance and statistics journals including Review of Finance, Critical Finance Review, Journal of Empirical Finance, Journal of International Money and Finance, European Journal of Operational Research, Journal of Multivariate Analysis, and Communication in Statistics Simulation and Computation.
How can business leaders make better production and capital investment decisions? How can Wall Street analysts improve their predictions of future stock market values? How can government improve macroeconomic forecasts and policies? In The Power of Profit, Anari and Kolari demonstrate how profit measures can be applied as the basis for these and many other applications of economic, policy, financial, and business analysis. The underlying theme of the book is that profitability is the driving force in free market economies. Firms invest in capital, produce goods and services, and generate sales in an effort to reap profits. Firms that are unprofitable exit the marketplace and are replaced by profitable firms. Despite the crucial importance of profits, however, there is no formal model that directly relates profits to capital formation and output. Previous studies over the past 100 years on profit and the economy are mainly descriptive in nature, without any well-specified model grounded in microeconomic theory. Filling this gap, the authors present a profit system model of the firm grounded in basic accounting relationships in addition to the well-known Cobb-Douglas production function, which can be applied to individual firms, industries, and the business sector as a whole. Through rigorous data analysis, the authors show how the profit system modelcan be applied to: modeling the U.S. business sector and national economy forecasting output, capital stock, total profit, profit rates, and profit margins examining the relationships among profitability, economic growth, and the business cycle simulating the effects of potential monetary policy changes on the business sector and national economy valuing the Standard Poor's stock market index as well as individual firms. The result is a model that integrates microeconomic and macroeconomic factors and that can be widely applied in business and economic decisions, policymaking, research, and teaching.
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How can business leaders make better production and capital investment decisions? How can Wall Street analysts improve their predictions of future stock market values? How can government improve macroeconomic forecasts and policies? In The Power of Profit, Anari and Kolari demonstrate how profit measures can be applied as the basis for these and many other applications of economic, policy, financial, and business analysis. The underlying theme of the book is that profitability is the driving force in free market economies. Firms invest in capital, produce goods and services, and generate sales in an effort to reap profits. Firms that are unprofitable exit the marketplace and are replaced by profitable firms. Despite the crucial importance of profits, however, there is no formal model that directly relates profits to capital formation and output. Previous studies over the past 100 years on profit and the economy are mainly descriptive in nature, without any well-specified model grounded in microeconomic theory. Filling this gap, the authors present a profit system model of the firm grounded in basic accounting relationships in addition to the well-known Cobb-Douglas production function, which can be applied to individual firms, industries, and the business sector as a whole. Through rigorous data analysis, the authors show how the profit system model can be applied to: modeling the U.S. business sector and national economy forecasting output, capital stock, total profit, profit rates, and profit margins examining the relationships among profitability, economic growth, and the business cycle simulating the effects of potential monetary policy changes on the business sector and national economy valuing the Standard & Poor's stock market index as well as individual firms The result is a model that integrates microeconomic and macroeconomic factors and that can be widely applied in business and economic decisions, policymaking, research, and teaching.
In: The journal of financial research: the journal of the Southern Finance Association and the Southwestern Finance Association, Band 13, Heft 4, S. 339-347
AbstractThis paper provides empirical evidence on the market response to the 1982 Garn‐St. Germain Depository Institutions Act (DIA), as measured by changes in the prices of savings and loan associations' common stock. The analyses indicate positive, significant abnormal returns in the weeks immediately preceding both the passage of the DIA and the subsequent announcement of the specific terms of money market deposit accounts (MMDAs). No reaction to the surprise announcement of Super NOWs is found. Also, no significant changes in risk for savings and loans is detected surrounding the DIA and MMDA events. Consistent with the primary intent of DIA, this evidence suggests that investors perceived savings and loans to benefit from this legislation.