The effects of changes in index composition on stock prices and volume: Evidence from the Istanbul stock exchange

Previous evidence has shown that stocks included in (excluded from) an index exhibit significant positive (negative) abnormal returns on the announcement day, and that trading volume is affected by the event. This study examines the price and volume effects on stocks associated with the changes in the value-weighted index composition of two indices, of the ISE, where the index funds and index derivatives do not exist. Consistent with previous evidence, stocks included in (excluded from) the index tend to generate positive (negative) abnormal returns in ISE. Volume and volume volatility are also significantly affected. Our results seem to support the hypotheses of price-pressure, imperfect substitute and attention due to the lack of index-funds and derivatives market in Turkey.     

Communication by Central Bank Committee Members: Different Strategies, Same Effectiveness?

The paper assesses the communication strategies of the Federal Reserve, the Bank of England, and the European Central Bank and their effectiveness. We find that the effectiveness of communication is not independent from the decision-making process. The paper shows that the Federal Reserve has been pursuing a highly individualistic communication strategy amid a collegial approach to decision making, while the Bank of England is using a collegial communication strategy and highly individualistic decision making. The European Central Bank (ECB) has chosen a collegial approach both in its communication and in its decision making. Assessing these strategies, we find that predictability of policy decisions and the responsiveness of financial markets to communication are equally good for the Federal Reserve and the ECB. This suggests that there may not be a single best approach to designing a central bank communication strategy.     

Flow Effects of Central Bank Asset Purchases on Sovereign Bond Prices: Evidence from a Natural Experiment

We estimate the response of sovereign bond prices to net supply shocks caused by purchase operations under the ECB's Public Sector Purchase Programme (PSPP). To avoid simultaneity bias in the estimated relationship between prices and purchases, we exploit a PSPP feature that renders securities temporarily ineligible for reasons unrelated to their prices. Using these purchase restrictions as an instrument to identify exogenous variation in purchase volumes, we find that PSPP causes statistically significant and economically relevant upward price impacts. The impacts are short-lived and concentrated in securities issued by higher yield jurisdictions and characterized by higher maturity and lower liquidity.     

Interest rate expectations and uncertainty during ECB Governing Council days: Evidence from intraday implied densities of 3-month EURIBOR

This paper analyses changes in short-term interest rate expectations and uncertainty during ECB Governing Council days. For this purpose, it extends the estimation of risk-neutral probability density functions up to tick frequency. In particular, the non-parametric estimator of these densities, which is based on fitting implied volatility curves, is applied to estimate intraday expectations of 3-month EURIBOR 3 months ahead. Estimates of the noise impact on the statistical moments of the densities enhance the interpretation. In addition, the paper assesses the impact of the ECB communication during Governing Council days. The results show that the whole density may react to the communication and that such repositioning of market participants’ expectations will contain information beyond that of changes in the consensus view already observed in forward rates. The results also point out the relevance of the press conference in providing extra information and triggering an adjustment process for interest rate expectations.     

Short-sale inflow and stock returns: Evidence from Japan

Using a 10-year panel of flow-based information on stock borrowings and constructing a flow-based measure for shorting demand, I examine the relation between shorting demand and subsequent stock price movements. I find that the least heavily shorted stocks tend to outperform the most heavily shorted stocks and that this outperformance persists up to three months. In addition, using proxies for information asymmetry derived from the market microstructure literature, I find that this outperformance is not confined to stocks with high information asymmetry. These empirical findings indicate that short sellers act not only as informed investors who gain negative news but also as skillful investors who detect stock price deviations from fundamental values.     

Central bank announcements of asset purchases and the impact on global financial and commodity markets

We present evidence on the effects of large-scale asset purchases by the Federal Reserve and the Bank of England since 2008. We show that announcements about these purchases led to lower long-term interest rates and depreciations of the U.S. dollar and the British pound on announcement days, while commodity prices generally declined despite this more stimulative financial environment. We suggest that LSAP announcements likely involved signaling effects about future growth that led investors to downgrade their U.S. growth forecasts lowering long-term US yields, depreciating the value of the U.S. dollar, and triggering a decline in commodity prices. Moreover, our analysis illustrates the importance of controlling for market expectations when assessing these effects. We find that positive U.S. monetary surprises led to declines in commodity prices, even as long-term interest rates fell and the U.S. dollar depreciated. In contrast, on days of negative U.S. monetary surprises, i.e. when markets evidently believed that monetary policy was less stimulatory than expected, long-term yields, the value of the dollar, and commodity prices all tended to increase.     

Modeling and measuring intraday overreaction of stock prices

We introduce a model for stock prices consisting of a fundamental price process and a news impact curve, which allows for either overreaction, underreaction, or correct response to changes of the fundamental value. We further develop statistics based on OHLC data, which separately measure upside and downside overreaction. The distribution of these statistics under the hypothesis of correct response and fundamental prices following Brownian motions is used to derive tests for upside and downside overreaction. We show that more realistic and frequently used fundamental price processes with correct response leave the distribution of the test statistics widely unaffected or lead to conservative tests. Empirical application to different stock markets provides strong evidence for intraday overreaction, particularly to bad news. The economic significance of the discrimination induced by the proposed statistics is further illustrated by analyzing the performance of a simple buy on bad news strategy.     

Economic determinants of the nominal treasury yield curve

Macroeconomic shocks account for most of the variability of nominal Treasury yields, inducing parallel shifts in the level of the yield curve. We develop a new approach to identifying macroeconomic shocks that exploits model-based empirical shock measures. Technology shocks shift yields through their effect on expected inflation and the term premium. Shocks to preferences for current consumption affect yields through their impact on real rates and expected inflation. For both shocks, the systematic reaction of monetary policy is an important transmission pathway. We find little evidence that fiscal policy shocks are an important source of interest rate variability.     

Accounting for a Shift in Term Structure Behavior with No-Arbitrage and Macro-Finance Models

This paper examines a shift in the dynamics of the term structure of interest rates in the United States during the mid-1980s. We document this shift using standard interest rate regressions and using dynamic, affine, no-arbitrage models estimated for the pre- and post-shift subsamples. The term structure shift largely appears to be the result of changes in the pricing of risk associated with a "level" factor. Using a macro-finance model, we suggest a link between this shift in term structure behavior and changes in the dynamics and risk pricing of the Federal Reserve's inflation target as perceived by investors.     

Inter-temporal variation in the illiquidity premium

We find evidence of a systematic link between monetary conditions and inter-temporal variation in the price of liquidity. Specifically, following an expansive monetary policy shift, funding conditions improve and market-wide liquidity increases, which is especially beneficial for illiquid securities. The improved liquidity and funding conditions reduce the returns required for holding illiquid securities. Consequently, illiquid stocks experience relatively large price increases when monetary conditions become expansive, and thus, the measured return spread between illiquid and liquid stocks expands substantially. Overall, our evidence supports the claim that the price of asset liquidity is dependent on monetary conditions.     

Measuring the effects of geographical distance on stock market correlation

Recent studies suggest that the correlation of stock returns increases with decreasing geographical distance. However, there is some debate on the appropriate methodology for measuring the effects of distance on correlation. We modify a regression approach suggested in the literature and complement it with an approach from spatial statistics, the mark correlation function. For the stocks contained in the S&P 500 that we examine, both approaches lead to similar results. Contrary to previous studies we find that beyond 50 miles geographical proximity is irrelevant for stock return correlations. For distances below 50 miles, we can show that the magnitude of local correlations varies with investor sentiment.     

Nonlinear Drift And Stochastic Volatility: An Empirical Investigation Of Short-Term Interest Rate Models

In this article I provide new evidence on the role of nonlinear drift and stochastic volatility in interest rate modeling. I compare various model specifications for the short‐term interest rate using the data from five countries. I find that modeling the stochastic volatility in the short rate is far more important than specifying the shape of the drift function. The empirical support for nonlinear drift is weak with or without the stochastic volatility factor. Although a linear drift stochastic volatility model fits the international data well, I find that the level effect differs across countries.     

Short sales and speed of price adjustment: Evidence from the Hong Kong stock market

We present empirical evidence that short sales contribute to market efficiency by increasing the speed of price adjustment to not only private/public firm-specific information but also market-wide information. Shortable stocks are characterized by weaker trade continuity and stronger quote reversals. They adjust faster to new information than non-shortable counterparts. These findings remain robust even in an “up” market condition in which short sales are not binding. The amount of information incorporated in each trade is also significantly higher for shortable than non-shortable stocks in both “up” and “down” market conditions. After controlling for firm size, trading volume, liquidity, price and option trading, short sales stand out as one of the significant factors that speed up the price adjustment.     

Accruals,cash flows,and aggregate stock returns

This paper examines whether the firm-level accrual and cash flow effects extend to the aggregate stock market. In sharp contrast to previous firm-level findings, aggregate accruals is a strong positive time series predictor of aggregate stock returns, and cash flows is a negative predictor. In addition, innovations in accruals are negatively contemporaneously correlated with aggregate returns, and innovations in cash flows are positively correlated with returns. These findings suggest that innovations in accruals and cash flows contain information about changes in discount rates, or that firms manage earnings in response to marketwide undervaluation.     

The Federal Reserve’s balance sheet and overnight interest rates: Empirical modeling of exit strategies

This paper provides a comprehensive study of the interplay between the Federal Reserve’s balance sheet and overnight interest rates. We model both the supply of and the demand for excess reserves. Treating outright securities holdings of the Federal Reserve as a policy tool, we estimate the effects of unconventional monetary policy on overnight funding rates. Further, we offer the first empirical assessment of the FOMC’s principles of the exit strategy. Assuming a path for removing monetary policy accommodation that is consistent with the FOMC’s exit principles, we project that the federal funds rate increases to 70 basis points by 2016, settling in a corridor bracketed by the discount rate and the interest rate on excess reserves, as excess reserves of depository institutions decline to near zero.     

Words that shake traders : The stock market's reaction to central bank communication in real time

This paper investigates the effects of Federal Reserve's decisions and statements on U.S. stock and volatility indices (Dow Jones Industrial Average, NASDAQ 100, S&P 500, and VIX) using a high-frequency event-study analysis. I find that both the surprise component of policy actions and official communication have statistically significant and economically relevant effects on equity indices, with statements having a much greater explanatory power of the reaction of stock prices to monetary policy. For instance, around 90% of the explainable variation in S&P 500 is due to the surprise component of Fed's statements. This paper also shows that equity indices tend to incorporate FOMC monetary surprises within 40 min from the announcement release. Finally, I find that these results are robust along several dimensions. In particular, I consider different estimators, such as the Generalized Empirical Likelihood, and I extend the sample to include the recent period of heightened financial stress. This sensitivity analysis corroborates that central bank communication about its future policy intentions is a key driver of stock returns.     

Competition,transmission and bank pricing policies: Evidence from Belgian loan and deposit markets

This paper addresses the pass-through from market interest rates to retail bank interest rates. The paper advocates a heterogeneous approach and applies it to the Belgian banking market. A substantial proportion of the heterogeneity in bank pricing policies can be explained by the bank lending channel and the relative market power hypothesis. The results also suggest that the long-term pass-through is typically less than one-for-one, rejecting the completeness hypothesis. While there is no convincing evidence for asymmetry in retail rates, large deviations from equilibrium mark-ups are faster reduced than small deviations. Overall, conditions for corporate loans are more competitive compared to consumer loans. Demand and savings deposits have, by far, the most rigid prices.     

China’s official rates and bond yields

Recent research shows that bond yields are influenced by monetary policy decisions. To learn how this works in a bond market that differs significantly from those in the US and Europe, we model Chinese bond yields using the one-year deposit interest rate as a state variable. We also include the spread between the one-year market interest rate and the one-year deposit interest rate as another factor. The model is developed in an affine framework and closed-form solutions are obtained. We then test the model empirically with a Markov Chain Monte Carlo simulation procedure. The results show that the new model that incorporates the official rate in China characterizes the changing shape of the yield curve well.     

Sentiment and stock returns: The SAD anomaly revisited

Widely-cited research by Kamstra et al. (2003) argues that changes in mood resulting from Seasonal Affective Disorder (SAD) drive changes in investor risk aversion and cause seasonal patterns in aggregate stock returns around the world. In this paper we reexamine the so-called SAD effect by replicating and extending Kamstra et al. (2003). We study the psychological underpinnings of the SAD hypothesis and show that the time-series predictions of the SAD model do not correspond to the seasonal patterns in depression found in the general population. We also investigate the cross-sectional prediction that SAD has a greater effect on stock markets in countries where SAD is more prevalent and find no relation between the prevalence of SAD and stock returns. Finally, we document that the SAD effect is mechanically driven by an overlapping dummy-variable specification and higher returns around the turn of the year.     

The term structure of policy rules

A formula is derived that links the coefficients of the monetary policy rule for the short-term interest rate to the coefficients of the implied affine equations for long-term interest rates. The formula predicts that an increase in the coefficients in the monetary policy rule will lead to an increase in the coefficients in the affine equations. Empirical evidence for such a prediction is provided. The curve of the response coefficients by maturity is also predicted by the formula. The formula's predictive accuracy and its closed form make it a useful tool for studying the policy implications of embedding no-arbitrage affine theories into macro models.