A Fast Literature Search Engine based on top-quality journals, by Dr. Mingze Gao.
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- Please kindly let me know [mingze.gao@mq.edu.au] in case of any errors.
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Results 380 resources
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A financial institution that finances and monitors firms learns private information about these firms. When the institution seeks funds to meet its own liquidity needs, it faces adverse selection ("liquidity") costs that increase with the risk of its claims on these firms. The institution can reduce its liquidity costs by holding debt rather than equity. Conversely, except in a limited setting resembling venture capital, firms that depend on monitored finance prefer to give the monitoring institution debt rather than equity. Institutions with less frequent or less severe liquidity needs have greater appetite for equity and for the debt of more risky borrowers. These predictions are consistent with general patterns of monitored finance. Copyright 2003, Oxford University Press.
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This paper presents a new test of conditional versions of the Sharpe‐Lintner CAPM, the Jagannathan and Wang (1996) extension of the CAPM, and the Fama and French (1993) three‐factor model. The test is based on a general nonparametric methodology that avoids functional form misspecification of betas, risk premia, and the stochastic discount factor. Our results provide a novel view of empirical performance of these models. In particular, we find that a nonparametric version of the Fama and French model performs well, even when challenged by momentum portfolios.
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The Industrial Revolution is a topic of renewed interest for growth economists. After the first wave of "new growth" theory that addressed the causes of sustained increases in productivity, more attention has been given to an important additional stylized fact: that rapid growth itself is new in historical terms. A radical discontinuity separates thousands of years of by and large stagnant living standards from the industrial era. Increasingly in the last few years, models have attempted to capture these long-run dynamics to try to explain how the world changed from a state where growth was fleeting and limited to one where it has become permanent and decisive. At the same time, economic historians have re-evaluated changes in living standards during the British Industrial Revolution (the canonical case). The new picture that emerges has become increasingly consistent over the last decade, and it differs drastically from earlier descriptions. This paper briefly summarizes the two literatures, contrasts the results obtained, and makes suggestions for a new set of "stylized facts" that could usefully guide future theoretical and empirical work on the Industrial Revolution.
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We compare and contrast some existing ordinary least squares (OLS)- and generalized method of moments (GMM)-based tests of asset pricing models with a new more general test. This new test is valid under the assumption that returns are elliptically distributed, a necessary and sufficient assumption of the linear capital asset pricing model (CAPM). This new test fails to reject the CAPM on a dataset of stocks sorted by market valuations, whereas similar tests constructed from OLS and GMM estimation methods reject the linear CAPM. We also find that outliers reduce the OLS-estimated mispricing of the linear CAPM on monthly returns sorted by previous performance, that is, momentum. Monte Carlo evidence supports superior size and power properties of the new test relative to OLS- and GMM-based tests. Copyright 2003, Oxford University Press.
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