The Reverse Revolving Door in the Supervision of European Banks
Stefano Colonnello, Michael Koetter, Alex Sclip, Konstantin Wagner
IWH Discussion Papers,
Nr. 25,
2023
Abstract
We show that around one third of executive directors on the boards of national supervisory authorities (NSA) in European banking have an employment history in the financial industry. The appointment of executives without a finance background associates with negative valuation effects. Appointments of former bankers, in turn, spark positive stock market reactions. This „proximity premium“ of supervised banks is a more likely driver of positive valuation effects than superior financial expertise or intrinsic skills of former executives from the financial industry. Prior to the inception of the European Single Supervisory Mechanism, the presence of former financial industry executives on the board of NSA associates with lower regulatory capital and faster growth of banks, pointing to a more lenient supervisory style.
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"Let Me Get Back to You" — A Machine Learning Approach to Measuring NonAnswers
Andreas Barth, Sasan Mansouri, Fabian Wöbbeking
Management Science,
Nr. 10,
2023
Abstract
Using a supervised machine learning framework on a large training set of questions and answers, we identify 1,364 trigrams that signal nonanswers in earnings call questions and answers (Q&A). We show that this glossary has economic relevance by applying it to contemporaneous stock market reactions after earnings calls. Our findings suggest that obstructing the flow of information leads to significantly lower cumulative abnormal stock returns and higher implied volatility. As both our method and glossary are free of financial context, we believe that the measure is applicable to other fields with a Q&A setup outside the contextual domain of financial earnings conference calls.
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Herding Behavior and Systemic Risk in Global Stock Markets
Iftekhar Hasan, Radu Tunaru, Davide Vioto
Journal of Empirical Finance,
September
2023
Abstract
This paper provides new evidence of herding due to non- and fundamental information in global equity markets. Using quantile regressions applied to daily data for 33 countries, we investigate herding during the Eurozone crisis, China’s market crash in 2015–2016, in the aftermath of the Brexit vote and during the Covid-19 Pandemic. We find significant evidence of herding driven by non-fundamental information in case of negative tail market conditions for most countries. This study also investigates the relationship between herding and systemic risk, suggesting that herding due to fundamentals increases when systemic risk increases more than when driven by non-fundamentals. Granger causality tests and Johansen’s vector error-correction model provide solid empirical evidence of a strong interrelationship between herding and systemic risk, entailing that herding behavior may be an ex-ante aspect of systemic risk, with a more relevant role played by herding based on fundamental information in increasing systemic risk.
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Hollywood, Wall Street, and Mistrusting Individual Investors
Guido Lenz, Maximilian Mayer
Journal of Economic Behavior and Organization,
June
2023
Abstract
Individual investors reduce their trading activity in financial markets after the release of negatively biased Hollywood movies related to financial markets. These movies regularly depict financial markets and professionals active in them as marked by greed and corruption (Lichter et al. 1997). This decline in trading activity at the extensive margin comes together with depressed investor sentiment marked by higher likelihoods and volumes of selling than of buying transactions by those investors still active. Their avoidance of investing in and tendency to trade out of stocks related to companies in the financial industry, as well as their shift from actively managed mutual funds to passive vehicles (ETFs), provide evidence for the deterioration of investors’ trust in the financial industry and its managers. This channel is in line with existing literature on subjective beliefs in investment decisions and the impact of biased media coverage, such as the negative depiction of financial markets, shareholders, and managers in Hollywood movies.
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COVID-19 Pandemic and Global Corporate CDS Spreads
Iftekhar Hasan, Miriam Marra, Thomas Y. To, Eliza Wu, Gaiyan Zhang
Journal of Banking and Finance,
February
2023
Abstract
We examine the impact of the COVID-19 pandemic on the credit risk of companies around the world. We find that increased infection rates affect firms more adversely as reflected by the wider increase in their credit default swap (CDS) spreads if they are larger, more leveraged, closer to default, have worse governance and more limited stakeholder engagement, and operate in more highly exposed industries. We observe that country-level determinants such as GDP, political stability, foreign direct investment, and commitment to crisis management (income support, health and lockdown policies) also affect the sensitivity of CDS spreads to COVID-19 infection rates. A negative amplification effect exists for firms with high default probability in countries with fiscal constraints. A direct comparison between global CDS and stock markets reveals that the CDS market prices in a distinct set of corporate traits and government policies in pandemic times.
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The Impact of Financial Transaction Taxes on Stock Markets: Short-Run Effects, Long-Run Effects, and Reallocation of Trading Activity
Sebastian Eichfelder, Mona Noack, Felix Noth
National Tax Journal,
Nr. 3,
2022
Abstract
We investigate the French 2012 financial transaction tax (FTT) and find robust evidence for anticipation effects before the implementation date. Controlling for short-run effects, we only find weak evidence for a long-run reduction in trading activity. Thus, the main impact of the French FTT on trading activity is short-run. In line with liquidity clientele effects, we find a more potent effect for low-liquidity stocks and a reallocation of trading to high-liquidity stocks from the Supplemental Liquidity Provider (SLP) program. Finally, we find weak evidence for a persistent volatility reduction but no indication of a significant FTT impact on price efficiency.
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Firm Social Networks, Trust, and Security Issuances
Ming Fang, Iftekhar Hasan, Zenu Sharma, An Yan
European Journal of Finance,
Nr. 4,
2022
Abstract
We observe that public firms are more likely to issue seasoned stocks rather than bonds when theirs boards are more socially-connected. These connected issuers experience better announcement-period stock returns and attract more institutional investors. This social-connection effect is stronger for firms with severe information asymmetry, higher risk of being undersubscribed, and more visible to investors. Our conjecture is this social-network effect is driven by trust in issuing firms. Given stocks are more sensitive to trust, these trusted firms are more likely to issue stocks than bonds. Trustworthiness plays an important role in firms’ security issuances in capital markets.
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The Impact of Overconfident Customers on Supplier Firm Risks
Yiwei Fang, Iftekhar Hasan, Chih-Yung Lin, Jiong Sun
Journal of Economic Behavior and Organization,
May
2022
Abstract
Research has shown that firms with overconfident chief executive officers (CEOs) tend to overinvest and are exposed to high risks due to unrealistically optimistic estimates of their firms’ future performance. This study finds evidence that overconfident CEOs also affect suppliers’ risk taking. Specifically, serving overconfident customers can lead to high supplier risks, measured by stock volatility, idiosyncratic risk, and market risk. The effects are pronounced when customers aggressively invest in research and development (R&D). Our results are robust after addressing self-selection bias and using different CEO overconfidence measures. We also document some real effects of customer CEO overconfidence on suppliers.
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