A Fast Literature Search Engine based on top-quality journals, by Dr. Mingze Gao.

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Results 3,464 resources

  • Size and value premia comove strongly with one another at low frequencies, but they are both negatively related to long-run movements in the equity premium. We explain these patterns in an investment-based asset pricing model featuring persistent micro and macro uncertainty. Micro uncertainty generates size and value premia waves, while macroeconomic uncertainty produces equity premium waves. The negative correlation between micro and macro uncertainty at low frequencies explains why the equity premium is a long-term hedge for size and value premia. Persistent micro uncertainty is also a source of instability for size and value factors in short samples.

  • Remote work has increased the demand for housing and changed the demand for the location of that housing. Because housing supply is heterogeneous across space and more elastic in the long-run, the effects on rents and populations may differ over time. We use the lens of a spatial housing model with heterogeneous housing supply elasticities to identify the housing and location demand changes from 2020–2022, and show that the same shocks will have different effects in the long run. Even though rents and prices increased significantly in the short-run, we estimate that in the long-run, increased housing demand will increase rents by only 1.8 percentage points, and that changing location demand will decrease rents by 0.3 percentage points, with a more negative impact on cities in which CPI is measured and cities that were initially expensive.

  • We examine the role of first impressions in angel investor decision-making. Video stills of entrepreneurs pitching on the Shark Tank show and in Startup Battlefield competitions yield six measures of first impressions of entrepreneurs’ facial traits and two principal components: one that captures general ability and the other that contrasts charm and managerial ability. We find positive associations between both components and the likelihood of entrepreneurs receiving an investment offer or winning a competition round. Post-event business outcome analyses reveal that investors internalize entrepreneurs’ general ability rationally but exhibit irrational tendencies when internalizing entrepreneurs’ charm and managerial ability. Investment experience mitigates investors’ irrational use of charm and managerial ability cues.

  • I model and structurally estimate the equilibrium rates and volume in the Triparty repo market to study imperfect competition in wholesale funding. Even in this systemically important market, where seemingly homogeneous repos trade, I document persistent rate differences paid by dealers. I characterize the Triparty market as cash-lenders allocating their portfolios among differentiated dealers who set repo rates. I find that cash-lenders’ aversion to portfolio concentration and preference for stable lending grant dealers substantial market power: between 2011 and 2017, dealers borrowed at rates that were 26 bps lower than their marginal value from intermediating the borrowed repo funds. Dealers’ market power makes the observed wholesale repo rate understate the financing rate available to market participants who rely on repo funding, and offers a novel explanation for funding spreads such as the Treasury cash-futures basis and the Treasury swap spread.

  • We study optimal securitization in the agency mortgage-backed securities (MBS) market. Many MBS are traded in the liquid to-be-announced (TBA) market, which however induces adverse selection due to cheapest-to-deliver pricing. We find that lenders pool high-value loans separately and trade them in a less liquid market. We estimate a model of MBS pooling and trading to study welfare implications of pooling policies. TBA market structure produces a trade-off between efficiency and equity; broader pooling increases liquidity and average welfare, but results in a larger cross-subsidy from smaller loans to larger loans. Minimizing costs or limiting strategic pooling results in a more regressive redistribution.

  • We show that exchange rate correlations tend to be explained by the global trade network while consumption correlations tend to be explained by productivity correlations. Sharing common trade linkages with other countries increases exchange rate correlations beyond bilateral linkages. We explain these findings using a model of the global trade network with market segmentation. Interdependent global production generates international comovements, while market segmentation disconnects the drivers of exchange rate correlations from the drivers of consumption correlations. Moreover, we show that the trade network generates common factors found in exchange rates. Our findings offer a trade-based account of the origins of international comovements and shed light on important frictions in international markets.

  • We show, using machine learning, that fund characteristics can consistently differentiate high from low-performing mutual funds, before and after fees. The outperformance persists for more than three years. Fund momentum and fund flow are the most important predictors of future risk-adjusted fund performance, while characteristics of the stocks that funds hold are not predictive. Returns of predictive long-short portfolios are higher following a period of high sentiment. Our estimation with neural networks enables us to uncover novel and substantial interaction effects between sentiment and both fund flow and fund momentum.

  • Does investors’ political ideology shape international capital allocation? We provide evidence from two settings—syndicated corporate loans and equity mutual funds—to show ideological alignment with foreign governments affects the cross-border capital allocation by U.S. institutional investors. Ideological alignment on both economic and social issues plays a role. Our empirical strategy ensures direct economic effects of foreign elections or government ties between countries are not driving the result. Ideological distance between countries also explains variation in bilateral investment. Combined, our findings imply ideological alignment is an important, omitted factor in models of international capital allocation.

  • I examine the asset pricing implications of technological innovations that allow capital to displace labor: automation. I develop a theory in which firms with displaceable labor are negatively exposed to such technology shocks. In the model, firms optimally adopt technology to gain competitive advantage but in equilibrium competition erodes profits and decreases firm value. Empirically, I find that firms with high share of displaceable labor have negative exposure to technology shocks. A long-short portfolio sorted on this variable mimics macroeconomic measures of technology shocks. Negatively exposed firms earn a 4% annual return premium consistent with displacement risk from technological progress.

  • Do investors reach for yield when interest rates are low and does this behavior affect the housing market? Using the unique setting and data of 18th-century Amsterdam, I show that reach-for-yield behavior of wealthy investors resulted in a large boom and bust in house prices and major changes in rental yields. Exploiting changes in the supply of bonds, I show that investors living off capital income shifted their portfolios towards real estate and other higher-yielding assets when bond yields were low and decreasing. This behavior exacerbated house price volatility and increased housing wealth inequality.

Last update from database: 5/15/24, 11:01 PM (AEST)

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