Cross‐Border Auction Cycle Effects of Sovereign Bond Issuance in the Euro Area

We provide evidence for the euro area of spillovers from foreign public debt auctions into domestic secondary‐market auction cycles. We also confirm existing evidence of such spillovers from domestic issues into the domestic secondary market. Consistent with a theory of primary dealers’ limited risk‐bearing capacity, we find that auction cycles from domestic issues are stronger during the recent crisis period, whereas cross‐border effects are stronger in the precrisis period, but this evidence is not strong. This finding likely reflects the opposing effects of reduced sovereign bond market integration during the crisis and higher yield covariances caused by more market volatility.     

Inference with Dependent Data in Accounting and Finance Applications

We review developments in conducting inference for model parameters in the presence of intertemporal and cross‐sectional dependence with an emphasis on panel data applications. We review the use of heteroskedasticity and autocorrelation consistent (HAC) standard error estimators, which include the standard clustered and multiway clustered estimators, and discuss alternative sample‐splitting inference procedures, such as the Fama–Macbeth procedure, within this context. We outline pros and cons of the different procedures. We then illustrate the properties of the discussed procedures within a simulation experiment designed to mimic the type of firm‐level panel data that might be encountered in accounting and finance applications. Our conclusion, based on theoretical properties and simulation performance, is that sample‐splitting procedures with suitably chosen splits are the most likely to deliver robust inferential statements with approximately correct coverage properties in the types of large, heterogeneous panels many researchers are likely to face.     

Industry Costs of Equity: Incorporating Prior Information

I examine whether incorporating economically motivated prior information yields more accurate forecasts of industry costs of equity. I find that incorporating the long‐run mean of the Capital Asset Pricing Model (CAPM) parameters and the industry characteristics in the cross section produces more accurate parameter estimates, which subsequently translate into more accurate out‐of‐sample forecasts of industry costs of equity. The outperformance of this method over rolling‐window estimates becomes larger as the forecast horizon extends into the future. These findings provide evidence that the CAPM parameters have a long‐run mean‐reversion property and correlate with the industry characteristics in a systematic way.     

Corporate social responsibility and Eurozone corporate bonds: The moderating role of country sustainability

In this paper, we empirically examine whether superior performance in corporate social responsibility (CSR) results in lower credit risk, measured by credit ratings and zero-volatility spreads (z-spreads). We are especially interested in how the environmental, social, and governance (ESG) related performance of the corresponding countries moderates this relationship. We find only weak evidence that superior corporate social performance (CSP) results in systematically reduced credit risk. However, we do find strong support for our hypothesis that a country’s ESG performance moderates the CSP–credit risk relationship. Superior CSP is regarded as risk-reducing and rewarded with better ratings and lower z-spreads only if it is recognized by the environment. In addition, we find a reduction of corporate bonds’ z-spreads by approx. 9.64 basis points if the CSP of a company mirrors the ESG performance of the country it is located in.     

Multi-scale tests for serial correlation

This paper introduces a new family of portmanteau tests for serial correlation. Using the wavelet transform, we decompose the variance of the underlying process into the variance of its low frequency and of its high frequency components and we design a variance ratio test of no serial correlation in the presence of dependence. Such decomposition can be carried out iteratively, each wavelet filter leading to a rich family of tests whose joint limiting null distribution is a multivariate normal. We illustrate the size and power properties of the proposed tests through Monte Carlo simulations.     

Measuring the liquidity part of volume

Based on the concept that the presence of liquidity frictions can increase the daily traded volume, we develop an extended version of the mixture of distribution hypothesis model (MDH) along the lines of Tauchen and Pitts (1983) to measure the liquidity portion of volume. Our approach relies on a structural definition of liquidity frictions arising from the theoretical framework of Grossman and Miller (1988), which explains how liquidity shocks affect the way in which information is incorporated into daily trading characteristics. In addition, we propose an econometric setup exploiting the volatility–volume relationship to filter the liquidity portion of volume and infer the presence of liquidity frictions using daily data. Finally, based on FTSE 100 stocks, we show that the extended MDH model proposed here outperforms that of Andersen (1996) and that the liquidity frictions are priced in the cross-section of stock returns.     

Value and capacity of tax shields: An analysis of the slicing approach

Correctly valuing tax shields has been a challenge in corporate valuation. A recent study by Liu (2009) introduces the slicing approach to separating the tax shield into the earned and unearned parts. Liu also shows that the MM results are wrong, and claims that the slicing approach has finally resolved the issue of pricing tax shields, thereby bringing closure to the topic. However, through careful analysis, we refute Liu’s main claims and restore the MM results. There are still open questions and the topic is not completely resolved as claimed in Liu (2009).     

Cross-border spillover effects of unconventional monetary policies on Swiss asset prices

Unconventional monetary policies (UMPs) announced by the Federal Reserve, the European Central Bank, the Bank of England and the Bank of Japan exert important spillover effects on asset prices in Switzerland. Using a broad UMP event set and a long-term bond-futures based measure of market anticipation, we show that surprisingly expansionary UMPs lower Swiss government and corporate bond yields, induce the Swiss franc to appreciate, and dampen Swiss equity prices. Four extensions provide further insights. First, the estimated effects are strongest for announcements by the ECB. Second, the impact on government bonds is largest for bonds with residual maturities of 7–10 years. Third, the impact of foreign UMP shocks on exchange rates and Swiss bond yields is less pronounced after the introduction of the minimum rate of 1.20 Swiss franc per Euro by the Swiss National Bank on September 6, 2011, indicating that domestic monetary policy action partially affects the impact of external monetary shocks on domestic financial markets. Fourth, the sign of spillover effects differs for positive and negative UMP surprises, but their strength does not.     

Asymptotic behaviour of tests for a unit root against an explosive alternative

We compare the asymptotic local power of upper-tail unit root tests against an explosive alternative based on ordinary least squares (OLS) and quasi-differenced (QD) demeaning/detrending. We find that under an asymptotically negligible initialisation, the QD-based tests are near asymptotically efficient and generally offer superior power to OLS-based approaches; however, the power gains are much more modest than in the lower-tail testing context. We also find that asymptotically non-negligible initial conditions do not affect the power ranking in the same way as they do for lower-tail tests, with the QD-based tests retaining a power advantage in such cases.     

The 52-week high momentum strategy in international stock markets

We study the 52-week high momentum strategy in international stock markets proposed by George and Hwang [George, T., Hwang, C.Y., 2004. The 52-week high and momentum investing. Journal of Finance 59, 2145-2176.]. This strategy produces profits in 18 of the 20 markets studied, and the profits are significant in 10 markets. The 52-week high momentum profits exist independently from the Jegadeesh and Titman [Jegadeesh, N., Titman, S., 1993. Returns to buying winners and selling losers: implications for market efficiency. Journal of Finance 48, 65-91.] individual stock and Moskowitz and Grinblatt [Moskowitz, T.J., Grinblatt, M., 1999. Do industries explain momentum? Journal of Finance 54, 1249-1290] industry momentum strategies. These profits do not show reversals in the long run. We find that the 52-week high is a better predictor of future returns than macroeconomic risk factors or the acquisition price. The individualism index, a proxy to the level of overconfidence, has no explanatory power to the variations of the 52-week high momentum profits across different markets. However, the profits are no longer significant in most markets once transaction costs are taken into account.