How Reliable Are the Findings of ‘Foreign’ Investor Studies That Use TIC Data? A Look from the Host Market

Empirical literature on foreign investors' trading in stock markets heavily relies on US Treasury International Capital (TIC) data. Biases in TIC data and the fact that it represents only one source country raise questions on how reliable the conclusions based on TIC data are. Employing novel data of complete foreign flows compiled at destination, we answer these questions. Although the correlations between net flows derived from TIC and destination‐compiled data are low, and visible differences exist in some individual country results, TIC findings are not far off in central tendency. Notably, however, net foreign flows' persistence, positive response to world returns and positive contemporaneous correlation with local returns are more significant than TIC data suggest. Measurement noise in TIC data appears to result in underestimation of these key features.     

Persistent mispricing in a recently opened emerging index futures market: Arbitrageurs invited

The purpose of this study is to analyze the persistent, typically negative, mispricing in the new stock index futures market in Turkey, which has amounted to 5–8%, several multiples of transaction costs. The observations suggest that it is the outcome of a combination of practical difficulties of shorting in the spot stock market, behavioral effects, and insufficient arbitrage. The magnitude of the mispricing and the absence of arbitrage make behavioral effects more visible and provide a unique opportunity to examine extant behavioral hypotheses. Results confirm effects such as disposition and/or conservatism with the mispricing negatively related to past returns, but unrelated to future returns. Finally, an orderly weakening of the negative relation to past returns and behavioral effects is observed, suggesting that such effects will diminish as the market matures. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 29:218–243, 2009     

An empirical test of spatial competition in the audit market

This study empirically examines the effects of competition through differentiation on audit pricing. Based on prior economic theory on differentiated-product markets (e.g., Hotelling, 1929, Tirole, 1988), we hypothesize that audit fees are affected by an auditor's relative location in a market segment. We define audit markets per industry segment and U.S. Metropolitan Statistical Area and specify an auditor's industry location relative to the client (auditor–client industry alignment) and relative to the closest competitor (industry market share distance to closest competitor). We find that audit fees increase in both auditor–client industry alignment and industry market share distance to the closest competitor.     

Stock Market's Response to Real Output Shocks: Connection Restored but Delayed

We propose a vector autoregression with asymmetric leads model to combine the forward‐looking, contemporaneous, and delayed responses of the stock market to output news. Using this approach, we document that the stock market's connection to real output, shown by Binswanger to have been broken since the early 1980s, has been restored after 1998, however, via a delayed response. Subperiods mainly differ in terms of delayed response, portraying an interesting evolution of market participants' response to macroeconomic information based on the realized persistence of output shocks.     

The interaction between foreigners' trading and emerging stock returns: Evidence from Turkey

Using monthly foreign flows data on Istanbul Stock Exchange (ISE) and employing a structural VAR model, we analyze the interaction between foreigners' trading and emerging stock returns. In contrast to most of the available theory and repeated previous findings on other markets, foreign investors negative-feedback-trade with respect to past local returns in ISE, however only in rising markets and especially under macroeconomic instability. Net foreign flows forecast future market returns, but not individual stock returns. Price impacts are permanent, suggesting that foreigners' trading incorporates information. Overall, results reject previous conclusions that foreigners are uninformed positive feedback traders: rather, they are a heterogeneous group dominated by sophisticated investors able to rationally adjust their trading style in line with the market's prevailing characteristics.     

Joint dynamics of foreign exchange and stock markets in emerging Europe

This paper proposes an ideal specification for studying joint dynamics of emerging stock and foreign exchange markets, and applies it on European emerging markets where this interaction is of particular significance due to large external deficits. Results show that global developed and emerging stock market returns account for a large proportion of the (permanent) comovement between the stock index and currency value. The residual interaction after controlling for global indexes is small. The sign of the currency-stock market relationship is driven by dependence on foreign capital (predominantly positive for countries which are net receivers of foreign portfolio capital) and depth of the local stock market. Bank of Russia's intensive involvement in the currency market delays Ruble's response to global information. Emerging European currencies predict reversals in global equity indexes several months ahead.     

Identifying the interaction between stock market returns and trading flows of investor types: Looking into the day using daily data

This paper introduces a new method for identifying the simultaneity between returns and trading flows. The proposed method enables us to identify the intraday interaction using daily data, and provides measures of the information content of trading flows, and their instantaneous response to public information and information revealed by market prices. Applying this method to daily data on investor types from the Korea Stock Exchange, we find significant intraday bi-directional interaction between flows and returns and their latent common drivers, altering some of the results of the previous literature based on Cholesky assumptions. Thus, we obtain a number of new insights concerning the behavior of investor types.     

Monday Effect in the RMW and the Short‐Term Reversal Factors

We document that the positive (opposite) Monday or early‐in‐the‐week effect in Fama–French's robust‐minus‐weak (RMW) factor, first reported by Ülkü (2017), is pervasive across international markets, ruling out data‐snooping. As in the United States, the pattern has strengthened over time. Monday effect in RMW is linked to a combination of institutional investor trading pattern and the weekend sound‐mind effect. We devise a test of the external validity of the weekend sound‐mind effect hypothesis: the short‐term reversal factor, which is profitable within its holding period but leads to larger losses subsequently, exhibits a significant negative Monday effect, as predicted by this hypothesis. Mondays buck fads.     

Reversal of Monday returns

This paper elaborates an interesting aspect of the Monday anomaly: Monday returns are relatively more likely to reverse over the subsequent days. We document that, although the Monday low-return anomaly disappeared, the subsequent reversal of Monday returns remains robust to date. The reversals, measured over a five-day horizon, are pervasive across international stock markets, reasonably stable over time, significant following both positive and negative Monday returns, and not confined to extreme Monday returns. Trading strategies designed to exploit these reversals earn economic profits. We examine potential explanations for the reversal of Monday returns using trading flows data of investor types from Korea. All predictions of the Foster and Viswanathan [J. Finance, 1993, 48, 187–211] model are confirmed: volatility is higher, trading volume is lower, market depth is lower and price impact costs are higher on Mondays. The model implies lower price quality on Mondays, but does not specifically predict reversal of Monday returns. We show that the trading intensity of international/institutional investors is lower on Mondays. This appears to make the market relatively more susceptible to individual investors’ trading, which is negatively correlated with international/institutional investors. Thus, Monday returns are relatively more likely to reverse during the subsequent days of the week when institutional investors trade more aggressively.     

Stock Market's Response to Real Output Shocks in China: A VARwAL Estimation

This paper studies the connection between the stock market and real output in China and compares it with benchmark countries, employing a novel vector autoregression with asymmetric leads (VARwAL) model. It makes two contributions. First, it finds that the time profile of the Chinese stock market's response to real output shocks suggests no evidence of a distorted relationship due to manipulation of Chinese real output data or domination of the Chinese stock market by individual investors. Rather, the Chinese stock market is relatively more responsive to real output, in line with the larger share of manufacturing in the Chinese economy. Electricity output and industrial profits, two different, less-manipulable time series, yield similar results. Second, it presents the first use of VARwAL impulse responses to detect stock market bubbles: VARwAL captures the 2015 bubble in China successfully. Over the full sample period, China's stock market appears to have been less prone to bubbles than the US stock market.