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Non-standard errors
(2021)
In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating 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.
The equity trading landscape all over the world has changed dramatically in recent years. We have witnessed the advent of new trading venues and significant changes in the market shares of existing ones. We use an extensive panel dataset from the European equity markets to analyze the market shares of five categories of lit and dark trading mechanisms. Market design features, such as minimum tick size, immediacy and anonymity; market conditions, such as liquidity and volatility; and the informational environment have distinct implications for order routing decisions and trading venues' resulting market shares. Furthermore, these implications differ distinctly for small and large trades, probably because traders jointly optimize their trade size and venue choice. Our results both confirm and go beyond current theoretical predictions on trading in fragmented markets.
We reconsider the issue of price discovery in spot and futures markets. We use a threshold error correction model to allow for arbitrage operations to have an impact on the return dynamics. We estimate the model using quote midpoints, and we modify the model to account for time-varying transaction costs. We find that the futures market leads in the process of price discovery. The lead of the futures market is more pronounced in the presence of arbitrage signals. Thus, when the deviation between the spot and the futures market is large, the spot market tends to adjust to the futures market.
We revisit the role of time in measuring the price impact of trades using a new empirical method that combines spread decomposition and dynamic duration modeling. Previous studies which have addressed the issue in a vector-autoregressive framework conclude that times when markets are most active are times when there is an increased presence of informed trading. Our empirical analysis based on recent European and U.S. data offers challenging new evidence. We find that as trade intensity increases, the informativeness of trades tends to decrease. This result is consistent with the predictions of Admati and Pfleiderer’s (1988) rational expectations model, and also with models of dynamic trading like those proposed by Parlour (1998) and Foucault (1999). Our results cast doubt on the common wisdom that fast markets bear particularly high adverse selection risks for uninformed market participants. JEL Classification: G10, C32 Keywords: Price Impact of Trades, Trading Intensity, Dynamic Duration Models, Spread Decomposition Models, Adverse Selection Risk
This paper studies the market quality of an internalization system which is designed as part of an open limit order book (the Xetra system operated by Deutsche Börse AG). The internalization sys-tem (Xetra BEST) guarantees a price improvement over the inside spread in the Xetra order book. We develop a structural model of this unique dual market environment and show that, while adverse selection costs of internalized trades are significantly lower than those of regular order book trades, the realized spreads (the revenue earned by the suppliers of liquidity) is significantly larger. The cost savings of the internalizer are larger than the mandatory price improvement. This suggests that internalization can be profitable both for the customer and the internalizer. JEL Classification: G10
Regulations in the pre-Sarbanes–Oxley era allowed corporate insiders considerable flexibility in strategically timing their trades and SEC filings, for example, by executing several trades and reporting them jointly after the last trade. We document that even these lax reporting requirements were frequently violated and that the strategic timing of trades and reports was common. Event study abnormal re-turns are larger after reports of strategic insider trades than after reports of otherwise similar nonstrategic trades. Our results also imply that delayed reporting is detrimental to market efficiency and lend strong support to the more stringent trade reporting requirements established by the Sarbanes–Oxley Act. JEL Classification: G14, G30, G32 Keywords: Insider Trading , Directors' Dealings , Corporate Governance , Market Efficiency
The overvaluation hypothesis (Miller 1977) predicts that a) stocks are overvalued in the presence of short selling restrictions and that b) the overvaluation increases in the degree of divergence of opinion. We design an experiment that allows us to test these predictions in the laboratory. The results indicate that prices are higher with short selling constraints, but the overvaluation does not increase in the degree of divergence of opinion. We further find that trading volume is lower and bid-ask spreads are higher when short sale restrictions are imposed. JEL Classification: C92, G14 Keywords: Overvaluation Hypothesis , Short Selling Constraints , Divergence of Opinion
Es werden verschiedene Methoden zur Messung der Risikoeinstellung einzelner Individuen vorgestellt und kritisch diskutiert. Berücksichtigt werden unter anderem Selbsteinschätzungen und experimentell orientierte Verfahren. Die Zusammenstellung wendet sich insbesondere an Wissenschaftler und Praktiker, die nach anwendbaren Verfahren zur Risikoeinstellungsmessung suchen.
In this paper we analyze the relation between fund performance and market share. Using three performance measures we first establish that significant differences in the risk-adjusted returns of the funds in the sample exist. Thus, investors may react to past fund performance when making their investment decisions. We estimated a model relating past performance to changes in market share and found that past performance has a significant positive effect on market share. The results of a specification test indicate that investors react to risk-adjusted returns rather than to raw returns. This suggests that investors may be more sophisticated than is often assumed.
The German financial system is the archetype of a bank-dominated system. This implies that organized equity markets are, in some sense, underdeveloped. The purpose of this paper is, first, to describe the German equity markets and, second, to analyze whether it is underdeveloped in any meaningful sense. In the descriptive part we provide a detailed account of the microstructure of the German equity markets, putting special emphasis on recent developments. When comparing the German market with its peers, we find that it is indeed underdeveloped with respect to market capitalization. In terms of liquidity, on the other hand, the German equity market is not generally underdeveloped. It does, however, lack a liquid market for block trading. Klassifikation: G 51 . Revised version forthcoming in "The German Financial System", edited by Jan P. Krahnen and Reinhard H. Schmidt, Oxford University Press.