Income, Trading, and Performance: Evidence from Retail Investors
Dien Giau Bui, Chih-Yung Lin, Iftekhar Hasan, Rui-Xiang Zhai
Journal of Empirical Finance,
March
2022
Abstract
We examine whether household income influences the trading styles of retail investors and their investment performance. To investigate this question, we use a unique dataset of branch-level trading that contains all retail investors and observe that those investors with high income trade more and earn significantly higher returns in the stock market. In addition, this income effect becomes stronger for highly risky stocks, such as gambling or lottery-like stocks. These findings are in line with the information model theorized by Peress (2004) in which wealthy investors take extra risks by trading more stocks.
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The Diplomacy Discount in Global Syndicated Loans
Gene Ambrocio, Xian Gu, Iftekhar Hasan, Panagiotis Politsidis
Journal of International Money and Finance,
February
2022
Abstract
This paper investigates whether state-to-state political ties with the United States affect the pricing of global syndicated loans. We find that a one-standard-deviation improvement in state political ties between the U.S. and the government of a borrower’s home country is associated with a 14.7 basis points lower loan spread, shaving off about 11.8 million USD in interest payments over the duration of the average loan for borrowers. Results also show that the effect of political ties is stronger for narrower and more concentrated loan syndicates, when lead arrangers are U.S. banks, during periods in which the U.S. is engaged in armed conflicts, when the U.S. president belongs to the Republican Party, and for borrowers with better balance sheets and prior lending relationships. Notably, not all firms benefit equally, as cross-listed firms and firms in countries with strong institutional quality and ability to attract institutional investors are much less affected by political ties.
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Spillover Effects in Empirical Corporate Finance
Tobias Berg, Markus Reisinger, Daniel Streitz
Journal of Financial Economics,
No. 3,
2021
Abstract
Despite their importance, the discussion of spillover effects in empirical research often misses the rigor dedicated to endogeneity concerns. We analyze a broad set of workhorse models of firm interactions and show that spillovers naturally arise in many corporate finance settings. This has important implications for the estimation of treatment effects: i) even with random treatment, spillovers lead to a complicated bias, ii) fixed effects can exacerbate the spillover-induced bias. We propose simple diagnostic tools for empirical researchers and illustrate our guidance in an application.
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Advances in Using Vector Autoregressions to Estimate Structural Magnitudes
Christiane Baumeister, James D. Hamilton
Abstract
This paper discusses drawing structural conclusions from vector autoregressions. We call attention to a common error in estimating structural elasticities and show how to correctly estimate elasticities even in the case when one knows only the effects of a single structural shock and the covariance matrix of the reduced-form residuals. We describe the traditional approach to identification as a claim to have exact prior information about the structural model and propose Bayesian inference as a way to acknowledge that prior information is imperfect or subject to error. We raise concerns about the way that results are typically reported for VARs that are set-identified using sign and other restrictions.
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Global Syndicated Lending during the COVID-19 Pandemic
Iftekhar Hasan, Panagiotis Politsidis, Zenu Sharma
Journal of Banking and Finance,
December
2021
Abstract
This paper examines the pricing of global syndicated loans during the COVID-19 pandemic. We find that loan spreads rise by over 11 basis points in response to a one standard deviation increase in the lender's exposure to COVID-19 and over 5 basis points for an equivalent increase in the borrower's exposure. This implies excess interestof about USD 5.16 million and USD 2.37 million respectively for a loan of average size and duration. The aggravating effect of the pandemic is exacerbated with the level of government restrictions to tackle the virus's spread, with firms’ financial constraints and reliance on debt financing, whereas it is mitigated for relationship borrowers, borrowers listed in multiple exchanges or headquartered in countries that can attract institutional investors.
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07.09.2021 • 22/2021
IWH Bankruptcy Update: Ongoing Decline in Bankruptcy Statistics
After hitting an all-time low in July, the number of firms declaring bankruptcy in Germany fell yet again in August. A new low was also registered in the number of impacted jobs. These are the headline findings of the IWH Bankruptcy Report, published by the Halle Institute for Economic Research (IWH), which provides a monthly update on German bankruptcy statistics.
Steffen Müller
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15.06.2021 • 16/2021
Increase in personal contacts spurs economic activity
This summer the economic outlook in Germany is bright. As the pandemic is in retreat, the restrictions that have hampered many service activities are likely to be gradually lifted, and a strong boost in private purchases can be expected. The Halle Institute for Economic Research (IWH) forecasts that gross domestic product will increase by 3.9% in 2021 and by 4.0% in 2022. Production in East Germany is expected to increase by 3% in both years, respectively.
Oliver Holtemöller
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08.06.2021 • 14/2021
IWH Bankruptcy Update: Still No Bankruptcy Wave in Sight; Number of Impacted Jobs Reaches New Low
In May the number of corporate bankruptcies once again fell significantly. A jump in June is also unlikely, according to early indicators assessed by IWH. The number of jobs impacted by bankruptcy has fallen to the lowest level witnessed since the Corona outbreak. The IWH Bankruptcy Report, published by the Halle Institute for Economic Research (IWH), provides a monthly update on German bankruptcy statistics.
Steffen Müller
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The Effect of Language on Investing: Evidence from Searches in Chinese Versus English
Hui-Ching Chuang, Iftekhar Hasan, Yin-Siang Huang, Chih-Yung Lin
Pacific-Basin Finance Journal,
June
2021
Abstract
This study examines the language effect on investing behavior in local stock markets for local- and foreign-language investors using Google search records. First, we find that attention to a local language stimulates attention to a foreign language, increases abnormal news coverage, and has better predictability on stock returns. Second, investors who do Google searches in the local language react faster to a news event's shock than those who search in the foreign language. Third, only attention to the local language can reduce the price drift of an earnings surprise. Last, firm-level information asymmetry is a channel for local advantage. Therefore, we suggest that investors who use a stock market's local language have a local advantage when seeking more profitable investment opportunities in that stock market.
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