A Fast Literature Search Engine based on top-quality journals, by Dr. Mingze Gao.
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Results 118 resources
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We show that eurozone bank risks during 2007–2013 can be understood as carry trade behavior. Bank equity returns load positively on peripheral (Greece, Italy, Ireland, Portugal, Spain, or GIIPS) bond returns and negatively on German government bond returns, which generated carry until the deteriorating GIIPS bond returns adversely affected bank balance sheets. We find support for risk-shifting and regulatory arbitrage motives at banks in that carry trade behavior is stronger for large banks and banks with low capital ratios and high risk-weighted assets. We also find evidence for home bias and moral suasion in the subsample of GIIPS banks.
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We show the importance of the collateral lending channel for small business employment over the past decade. Small businesses in areas with greater increases in house prices experienced stronger growth in employment than large firms in the same areas and industries. To identify the role of the collateral lending channel separately from aggregate changes in demand, we show that this effect is more pronounced in industries that need little start-up capital and in which housing collateral is more important. This increase is also present in manufacturing industries, particularly those that ship goods over long distances. In aggregate, the collateral lending channel explains 15–25% of employment variation.
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We propose regression-based estimators for beta representations of dynamic asset pricing models with an affine pricing kernel specification. We allow for state variables that are cross-sectional pricing factors, forecasting variables for the price of risk, and factors that are both. The estimators explicitly allow for time-varying prices of risk, time-varying betas, and serially dependent pricing factors. Our approach nests the Fama-MacBeth two-pass estimator as a special case. We provide asymptotic multistage standard errors necessary to conduct inference for asset pricing tests. We illustrate our new estimators in an application to the joint pricing of stocks and bonds. The application features strongly time-varying, highly significant prices of risk that are found to be quantitatively more important than time-varying betas in reducing pricing errors.
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We find strong evidence that three key dimensions of national culture (trust, hierarchy, and individualism) affect merger volume and synergy gains. The volume of cross-border mergers is lower when countries are more culturally distant. In addition, greater cultural distance in trust and individualism leads to lower combined announcement returns. These findings are robust to year and country-level fixed effects, time-varying country-pair and deal-level variables, as well as instrumental variables for cultural differences based on genetic and somatic differences. The results are the first large-scale evidence that cultural differences have substantial impacts on multiple aspects of cross-border mergers.
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We extend the neoclassical investment model (Hayashi, 1982) to allow for limited commitment on compensation contracts. We consider three types of limited commitment: (i) managers cannot commit to compensation contracts that provide lower continuation utility than their outside options; (ii) shareholders cannot commit to negative net present value (NPV) projects; (iii) both the managers and the shareholders cannot commit. We characterize the optimal contract under general convex adjustment cost functions and provide examples for which closed-form solutions can be obtained. We show that, as in the data, small firms invest more, grow faster, and have a higher Tobin׳s Q than large firms under the optimal contract. In addition, the pattern of the dependence of chief executive officer (CEO) compensation on past performance implied by our model is also consistent with empirical evidence.
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We study hedge funds that imposed discretionary liquidity restrictions (DLRs) on investor shares during the financial crisis. DLRs prolong fund life, but impose liquidity costs on investors, creating a potential conflict of interest. Ostensibly, funds establish DLRs to limit performance-driven withdrawals that could force fire sales of illiquid assets. However, after they restrict investor liquidity, DLR funds do not reduce illiquid stock sales and underperform a control sample of non-DLR funds. Consequently, DLRs appear to negatively impact fund family reputation. After the crisis, funds from DLR families faced difficulties raising capital and were more likely to cut their fees.
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We propose a model to capture the dynamics of asset returns, with periods of crises that are characterized by contagion. In the model, a jump in one region of the world increases the intensity of jumps both in the same region (self-excitation) as well as in other regions (cross-excitation), generating episodes of highly clustered jumps across world markets that mimic the observed features of the data. We develop and implement moment-based estimation and testing procedures for this model. The estimates provide evidence of self-excitation both in the US and the other world markets, and of asymmetric cross-excitation, with the US market typically having more influence on the jump intensity of other markets than the reverse. We propose filtered values of the jump intensities as a measure of market stress and examine their out-of-sample forecasting abilities.
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We investigate the dual notions that “dumb money” exacerbates well-known stock return anomalies and “smart money” attenuates these anomalies. We find that aggregate flows to mutual funds (dumb money) appear to exacerbate cross-sectional mispricing, particularly for growth, accrual, and momentum anomalies. In contrast, hedge fund flows (smart money) appear to attenuate aggregate mispricing. Our results suggest that aggregate flows to mutual funds can have real adverse allocation effects in the stock market and that aggregate flows to hedge funds contribute to the correction of cross-sectional mispricing.
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We investigate the role of trade credit links in generating cross-border return predictability between international firms. Using data from 43 countries from 1993 to 2009, we find that firms with high trade credit located in producer countries have stock returns that are strongly predictable based on the returns of their associated customer countries. This behavior is especially prevalent among firms with high levels of foreign sales. To better understand this effect we develop an asset pricing model in which firms in different countries are connected by trade credit links. The model offers further predictions about this phenomenon, including stronger predictability during periods of high credit constraints and low uninformed trading volume. We find supportive empirical evidence for these predictions.
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We provide evidence that some profitable insider stock selling is motivated by public information. At firms that disclose having concentrated sales relationships, insiders appear to sell their own stock profitably based on public information about their principal customers. Supplier insiders also sell more stock when public information about their customers׳ recent returns and earnings surprises suggests they will earn larger profits. These results are stronger when outside investor attention could be lower. Outside of this setting, insiders engage in a higher proportion of routine sales and their sales are less profitable. We do not find similar patterns for insider purchases.
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Journals
Topic
- CEO (10)
- Bond (10)
- Mergers and Acquisitions (6)
- Capital Structure (3)
Resource type
- Journal Article (118)