نتایج جستجو برای: reputation risk jel classification g14

تعداد نتایج: 1420214  

Journal: :The Review of Asset Pricing Studies 2022

Abstract We illustrate the role of left tail dependence—left mean (LTM)—in equity risk premium (ERP) predictability. LTM measures average pairwise dependency among major sectors incorporating shocks imperceptible at aggregate level. LTM, as well variance premium, significantly predicts ERP in and out sample, which is not case with commonly used predictors. find this predictability result procyc...

2018
Peter G. Dunne Haim Falk John Forker Ronan Powell

The purpose of this paper is to investigate the change in quality of the information environment preand postEnron. We test whether the reputations of all auditors declined as a result of Enron. The impact on the market risk premium is also examined. An information processing model is developed to show that a structural break in information quality can produce a variety of outcomes for the repon...

2009
Hao Zhou

This paper presents asset predictability evidence from the difference between implied and expected variances or variance risk premium that: (1) the variance difference measure predicts a significant positive risk premium across equity, bond, and credit markets; (2) the predictability is short-run, in that it peaks around one to four months and dies out as the horizon increases; and (3) such a s...

2006
Maik Schmeling

Using a new data set on investor sentiment, we show that institutional and individual sentiment seem to proxy for smart money and noise trader risk, respectively. First, using bias-adjusted long-horizon regressions, we show that institutional sentiment forecasts stock market returns at intermediate horizons correctly, whereas individuals consistently get the direction wrong. Second, even the si...

Journal: :J. Economic Theory 2014
Paolo Pasquariello

We study equilibrium trading strategies and market quality in an economy in which speculators display preferences consistent with Prospect Theory (Kahneman and Tversky, [39]; Tversky and Kahneman, [63]), i.e., loss aversion and mild risk seeking in losses. Loss aversion (risk seeking in losses) induces speculators to trade less (more), and less cautiously (more aggressively), with their private...

2007
Tomasz Piotr Wisniewski

This paper documents that political factors can be linked to the part of stock prices that cannot be explained by the standard present value models. The non-fundamental component of stock market index appears to be significantly influenced by the political orientation of the president and his approval rating, election cycle and military conflicts. The findings presented here indicate that there...

2006
Hakan Berument M. Nejat Coskun Afsin Sahin

This paper assesses the day of the week effect of the daily depreciation of the Turkish lira (TL) against the US dollar (USD) and its volatility. The empirical evidence from Turkey presented here suggests that Thursdays are associated with higher and Mondays with lower depreciation rates compared to those of Wednesdays. Moreover, Mondays and Tuesdays are associated with higher volatility than W...

2005
Gerlinde Fellner Erik Theissen

The overvaluation hypothesis (Miller 1977) predicts that a) stocks are overvalued when there are short selling restrictions and that b) the overvaluation is increasing in the degree of divergence of opinion. We design an experiment that allows us to test these predictions in the laboratory. Our results support the hypothesis that prices are higher in the presence of short selling constraints. T...

2004
Andreas Park

The paper analyses a simplified version of a Glosten-Milgrom style specialist security trading model with trade-timing. In a setting where traders are differentially informed, if the best-informed investors have a sufficiently strong or weak impact on prices then the investors with the strongest impact on prices delay their investment strategically, pretending to be the low-impact types. JEL Cl...

2012
Natalia Sizova

This paper aims at improved accuracy in testing for long-run predictability in noisy series, such as stock market returns. Long-horizon regressions have previously been the dominant approach in this area. We suggest an alternative method that yields more accurate results. We find evidence of predictability in S&P 500 returns even when the confidence intervals are constructed using model-free me...

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