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Year
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Dilemma and Global Financial Cycle: Evidence from Capital Account Liberalisation Episodes
Xiang Li
IWH Discussion Papers, No. 13, 2021
Abstract
By focusing on the episodes of substantial capital account liberalisation and adopting a new methodology, this paper provides new evidence on the dilemma and global financial cycle theory. I first identify the capital account liberalisation episodes for 95 countries from 1970 to 2016, and then employ an augmented inverse propensity score weighted (AIPW) estimator to calculate the average treatment effect (ATE) of opening capital account on the interest rate comovements with the core country. Results show that opening capital account causes a country to lose its monetary policy independence, and a floating exchange rate regime cannot shield this effect. Moreover, the impact is stronger when liberalising outward and banking flows.
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Partisan Professionals: Evidence from Credit Rating Analysts
Elisabeth Kempf, Margarita Tsoutsoura
Journal of Finance, No. 6, 2021
Abstract
Partisan perception affects the actions of professionals in the financial sector. Linking credit rating analysts to party affiliations from voter records, we show that analysts not affiliated with the U.S. president's party downward-adjust corporate credit ratings more frequently. Since we compare analysts with different party affiliations covering the same firm in the same quarter, differences in firm fundamentals cannot explain the results. We also find a sharp divergence in the rating actions of Democratic and Republican analysts around the 2016 presidential election. Our results show that analysts' partisan perception has price effects and may influence firms' investment policies.
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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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The Impact of Political Uncertainty on Institutional Ownership
Bill Francis, Iftekhar Hasan, Yun Zhu
Journal of Financial Stability, December 2021
Abstract
This paper provides original evidence from institutional investors that political uncertainty greatly affects investment behavior. Using institutional holdings of common stock, we find that institutions significantly reduce their holdings by 0.8–2.3% points during presidential election years. Such effect holds for gubernatorial elections with cross-state-border difference-in-difference analysis and for tests using a political uncertainty index. The effect is the opposite for American Depository Receipts (ADRs). In addition, we find that institutions benefit financially from the observed strategy, and such strategy is in line with predicted outcomes of presidential election polls.
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Executive Equity Risk-Taking Incentives and Firms’ Choice of Debt Structure
Iftekhar Hasan, Walid Saffar, Yangyang Chen, Leon Zolotoy
Journal of Banking and Finance, December 2021
Abstract
We examine how executive equity risk-taking incentives affect firms’ choice of debt structure. Using a longitudinal sample of U.S. firms, we document that when executive compensation is more sensitive to stock volatility (i.e., has higher vega), firms reduce their reliance on bank debt financing. We utilize the passage of the Financial Accounting Standard (FAS) 123R option-expensing regulation as an exogenous shock to management option compensation to account for potential endogeneity. In cross-sectional analyses, we find that the documented effect of vega is amplified among firms with higher growth opportunities and more opaque financial information; we also find vega's effect is mitigated in firms with limited abilities to tap into public debt market. Supplemental analyses suggest that firms with higher vega face more stringent bank loan covenants. We conclude that, by encouraging risk-taking, higher vega reduces firms’ reliance on bank debt financing in order to avoid more stringent bank monitoring.
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Cryptocurrency Volatility Markets
Fabian Wöbbeking
Digital Finance, No. 3, 2021
Abstract
By computing a volatility index (CVX) from cryptocurrency option prices, we analyze this market’s expectation of future volatility. Our method addresses the challenging liquidity environment of this young asset class and allows us to extract stable market implied volatilities. Two alternative methods are considered to compute volatilities from granular intra-day cryptocurrency options data, which spans over the COVID-19 pandemic period. CVX data therefore capture ‘normal’ market dynamics as well as distress and recovery periods. The methods yield two cointegrated index series, where the corresponding error correction model can be used as an indicator for market implied tail-risk. Comparing our CVX to existing volatility benchmarks for traditional asset classes, such as VIX (equity) or GVX (gold), confirms that cryptocurrency volatility dynamics are often disconnected from traditional markets, yet, share common shocks.
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Military Directors, Governance and Firm Behavior
Chen Cai, Iftekhar Hasan, Yinjie (Victor) Shen, Shuai Wang
Advances in Accounting, December 2021
Abstract
We build a large dataset of board of directors with military experience and document a substantial and persistent presence of independent military directors serving on corporate boards. We find that firms with independent military directors are associated with better monitoring outcomes, including less excessive CEO compensation, greater forced CEO turnover–performance sensitivity, and less earnings management.
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Macroprudential Policy and Intra-Group Dynamics: The Effects of Reserve Requirements in Brazil
Chris Becker, Matias Ossandon Busch, Lena Tonzer
Journal of Corporate Finance, December 2021
Abstract
We examine whether liquidity dynamics within banking groups matter for the transmission of macroprudential policy. Using matched bank headquarters-branch data for identification, we find a lending channel of reserve requirements for municipal branches whose headquarters are more exposed to the policy tool. The result is driven by the 2008–2009 crisis and is stronger for state-owned branches, especially when being less profitable and liquidity constrained. These findings suggest the presence of cross-regional distributional effects of macroprudential policies operating via internal capital markets.
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U.S. Monetary and Fiscal Policy Regime Changes and Their Interactions
Yoosoon Chang, Boreum Kwak, Shi Qiu
IWH Discussion Papers, No. 12, 2021
Abstract
We investigate U.S. monetary and fiscal policy interactions in a regime-switching model of monetary and fiscal policy rules where policy mixes are determined by a latent bivariate autoregressive process consisting of monetary and fiscal policy regime factors, each determining a respective policy regime. Both policy regime factors receive feedback from past policy disturbances, and interact contemporaneously and dynamically to determine policy regimes. We find strong feedback and dynamic interaction between monetary and fiscal authorities. The most salient features of these interactions are that past monetary policy disturbance strongly influences both monetary and fiscal policy regimes, and that monetary authority responds to past fiscal policy regime. We also find substantial evidence that the U.S. monetary and fiscal authorities have been interacting: central bank responds less aggressively to inflation when fiscal authority puts less attention on debt stabilisation, and vice versa.
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Non-Standard Errors
Albert J. Menkveld, Anna Dreber, Felix Holzmeister, Juergen Huber, Magnus Johannesson, Markus Kirchner, Sebastian Neusüss, Michael Razen, Utz Weitzel, et al.
IWH Discussion Papers, No. 11, 2021
Abstract
In statistics, samples are drawn from a population in a datagenerating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidencegenerating process (EGP). We claim that EGP variation across researchers adds uncertainty: non-standard errors. To study them, we let 164 teams test six hypotheses on the same sample. We find that non-standard errors are sizeable, on par with standard errors. Their size (i) co-varies only weakly with team merits, reproducibility, or peer rating, (ii) declines significantly after peer-feedback, and (iii) is underestimated by participants.
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