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
Abstract
We investigate the impact of the French 2012 financial transaction tax on trading activity, volatility, and price efficiency measured by first-order autocorrelation. We extend empirical research by analysing anticipation and reallocation effects. In addition, we consider measures for long-run volatility and first-order autocorrelation that have not been explored yet. We find robust evidence for anticipation effects before the effective date of the French FTT. Controlling for short-run effects, we only find weak evidence for a long-run reduction of trading activity due to the French FTT. Thus, the main impact of the French FTT on trading activity is short-run. We find stronger reactions of low-liquidity treated stocks and a reallocation of trading activity to high-liquidity stocks participating in the Supplemental Liquidity Provider Programme, which is both in line with liquidity clientele effects. Finally, we find weak evidence for a persistent volatility reduction but no indication for a significant FTT impact on price efficiency measured by first-order autocorrelation.
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Resolving the Missing Deflation Puzzle
Martín Harding, Jesper Lindé, Mathias Trabandt
Journal of Monetary Economics,
March
2022
Abstract
A resolution of the missing deflation puzzle is proposed. Our resolution stresses the importance of nonlinearities in price- and wage-setting when the economy is exposed to large shocks. We show that a nonlinear macroeconomic model with real rigidities resolves the missing deflation puzzle, while a linearized version of the same underlying nonlinear model fails to do so. In addition, our nonlinear model reproduces the skewness of inflation and other macroeconomic variables observed in post-war U.S. data. All told, our results caution against the common practice of using linearized models to study inflation and output dynamics.
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Stock Liquidity and Corporate Labor Investment
Mong Shan Ee, Iftekhar Hasan, He Huang
Journal of Corporate Finance,
February
2022
Abstract
Labor is among the most crucial factors of production that maintain a firm's competitiveness. Given its economic importance, drivers of firms' labor investment policy have gained increasing attention in the financial economics literature. This study investigates the relation between stock liquidity and labor investment efficiency. We establish a causal relation between the two phenomena using an exogenous shock to liquidity: the 2001 decimalization of stock trading. We find that labor investment efficiency improves following an increase in stock liquidity, and the effect is prevalent in firms experiencing overinvestment in labor. Our findings further support the argument that stock liquidity improves the efficiency of labor investment by enhancing governance through shareholder exit threat.
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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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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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Stock Liquidity, Empire Building, and Valuation
Sris Chatterjee, Iftekhar Hasan, Kose John, An Yan
Journal of Corporate Finance,
2021
Abstract
We conjecture that high stock liquidity negatively affects firm valuation by inducing inefficient investment. Using takeovers of public targets to study the empire-building motive, we find that a liquid firm is more likely than an illiquid firm to acquire a public firm. Such a takeover by a bidder with higher stock liquidity destroys bidder value to a larger degree. These patterns occur in both stock and cash acquisitions and hold after we use decimalization of tick size as a quasi-exogenous shock to stock liquidity. Finally, we show that financial constraints and corporate governance play important roles in the effects of stock liquidity on empire building in mergers and acquisitions.
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