Is market fragmentation harming market quality?

We examine how fragmentation is affecting market quality in US equity markets. We use newly available trade reporting facilities (TRFs) data to measure fragmentation, and we use a variety of empirical approaches to compare execution quality and efficiency of stocks with more and less fragmented trading. We find that fragmentation affects all stocks; more fragmented stocks have lower transactions costs and faster execution speeds; and fragmentation is associated with higher short-term volatility but greater market efficiency, in that prices are closer to being a random walk. Our results that fragmentation does not appear to harm market quality are consistent with US markets being a single virtual market with multiple points of entry.     

Which market integration measure?

This paper compares the dynamics of the financial integration process as described by different empirical approaches. To this end, a wide range of measures accounting for several dimensions of integration is employed. In addition, we evaluate the performance of each measure by relying on an established international finance result, i.e., increasing financial integration leads to declining international portfolio diversification benefits. Using monthly equity market data for three different country groups (i.e., developed markets, emerging markets, developed plus emerging markets) and a dynamic indicator of international portfolio diversification benefits, we find that (i) all measures give rise to a very similar long-run integration pattern; (ii) the standard correlation explains variations in diversification benefits as well or better than more sophisticated measures. These findings are robust to a battery of robustness checks.     

NASDAQ to mtroduce ETF market

The Nasdaq Stock Market Inc. （NASDAQ） announced on July 4 it will introduce the NASDAQ Exchange Traded Fund （ETF） Market, a market segment designed specifically for ETFs and Index Linked Notes （ILNs）.     

Tangent Lévy market models

In this paper, we introduce a new class of models for the time evolution of the prices of call options of all strikes and maturities. We capture the information contained in the option prices in the density of some time-inhomogeneous Lévy measure (an alternative to the implied volatility surface), and we set this static code-book in motion by means of stochastic dynamics of It?’s type in a function space, creating what we call a tangent Lévy model. We then provide the consistency conditions, namely, we show that the call prices produced by a given dynamic code-book (dynamic Lévy density) coincide with the conditional expectations of the respective payoffs if and only if certain restrictions on the dynamics of the code-book are satisfied (including a drift condition à la HJM). We then provide an existence result, which allows us to construct a large class of tangent Lévy models, and describe a specific example for the sake of illustration.     

Is the market underreacting or overreacting to open market share repurchases? A UK perspective

Using UK open market repurchases, we reject the market underreaction hypothesis and the market overreaction hypothesis proposed by Ikenberry et al. (1995) and Peyer and Vermaelen (2009), respectively. The evidence suggests that the UK market reacts slowly to actual repurchases made by value firms. UK repurchases on average do not suffer from share undervaluation prior to the announcement. Value firms perform just as well as glamour firms during the authorisation period but outperform glamour firms significantly 2 years following the announcement. It turns out that value firms repurchase over 6% more shares than glamour firms during the authorisation period.     

A note on the time–series relationship between market industry concentration and market volatility

Using cross-sectional regression analysis, previous studies provide conflicting results regarding the relationship between market industry concentration and market volatility. This paper investigates this relationship in the time–series. Using data from twenty one developed markets and the world market, we find that this relationship is significant and positive in about 61% of the markets: the more concentrated the market, the more volatile the market. We also find that, in 70% of the markets, there exists a causal relationship between market industry concentration and market volatility and the direction of causality runs from the former to the latter. Our results suggest that market industrial structure is a significant factor in explaining market volatility.     

Dependence structure between the equity market and the foreign exchange market–A copula approach

This paper investigates the dependence structure between the equity market and the foreign exchange market by using copulas. In particular, several copulas with different dependence structure are compared and used to directly model the underlying dependence structure. We find that there exists significant symmetric upper and lower tail dependence between the two financial markets, and the dependence remains significant but weaker after the launch of the euro. Our findings have important implications for both global investment risk management and international asset pricing by taking into account joint tail risk.     

Market discipline and too-big-to-fail in the CDS market: Does banks' size reduce market discipline?

This paper examines market discipline in the credit default swap (CDS) market and the potential distortion of CDS spreads which arises when a bank is thought to be too-big-to-fail. Overall, we find evidence for market discipline in the CDS market. However, CDS prices are distorted by a size effect when a bank is considered to be too-big-to-fail. A 1 percentage point increase in size reduces the CDS spread of a bank by about 2 basis points. We further find that some banks have already reached a size that makes them too-big-to-be-rescued. While the price distortion for these banks decreases, the existence of banks that are considered to be too-big-to-rescue raises important new issues for banking supervisors.     

Risk-sharing,market imperfections,asset prices: Evidence from China’s stock market liberalization

We examine the roles of risk-sharing and other factors in stock price revaluation during a recent liberalization episode in China. Consistent with the theoretical prediction that liberalizations reduce systematic risk, we find that risk-sharing explains approximately one-fourth of the price revaluation of investible stocks during the eight-month window between reform announcement and implementation. The firm-specific information generated by the reform is more efficiently priced into stocks that have a higher degree of market liquidity, information transparency, and informed trading.     

Does control‐ownership divergence impair market liquidity in an emerging market? Evidence from China

This paper examines how institutional characteristics of emerging economies influence the effect of control‐ownership divergence on market liquidity. We find that the divergence is negatively associated with liquidity and that this negative relationship is more pronounced in firms with more severe agency problems and information asymmetry. We argue that in an emerging market, the negative effect of the divergence on liquidity is worsened by state ownership and poorer shareholder protection, both of which result in more severe agency conflicts; we also find, however, that this effect is alleviated by the NTS reform, which aligns the interest of different shareholders.     

Are corporate bond market returns predictable?

This paper examines the predictability of corporate bond returns using the transaction-based index data for the period from October 1, 2002 to December 31, 2010. We find evidence of significant serial and cross-serial dependence in daily investment-grade and high-yield bond returns. The serial dependence exhibits a complex nonlinear structure. Both investment-grade and high-yield bond returns can be predicted by past stock market returns in-sample and out-of-sample, and the predictive relation is much stronger between stocks and high-yield bonds. By contrast, there is little evidence that stock returns can be predicted by past bond returns. These findings are robust to various model specifications and test methods, and provide important implications for modeling the term structure of defaultable bonds.     

Do jumps mislead the FX market?

This paper investigates the link between jumps in the exchange rate process and rumours of central bank interventions. Using the case of Japan, we analyse specifically whether jumps trigger false reports of intervention (i.e. an intervention is reported when it did not occur). Intraday jumps are extracted using a non-parametric technique recently proposed by Lee and Mykland in 2008 and by Andersen et al. in 2007, and later modified by Boudt et al. in 2011. Rumours are identified by using a unique database of Reuters and Dow Jones newswires. Our results suggest that a significant number of jumps on the YEN/USD have been falsely interpreted by the market as being the result of a central bank intervention. The paper has policy implications in terms of central bank interventions. We show that in times where the central bank is known to intervene, some investors may attach a lot of weight to central bank interventions as a source of exchange rate movement, leading to a false ‘intervention explanation’ for observed jumps.     

Do managers listen to the market?

There are competing theories as to whether managers learn from stock prices. Dye and Sridhar (2002), for example, argue that capital markets can be better informed than the firm itself, while Roll [Roll, R., 1986, “The hubris hypothesis of corporate takeovers,” Journal of Business 59, 97–216.] argues managers may ignore market signals due to hubris. In this paper, we examine whether managers listen to the market in making major corporate investments, and whether agency costs and corporate governance mechanisms help explain managers' propensity to listen. We find that, on average, managers listen to the market: they are more likely to cancel investments when the market reacts unfavorably to the related announcement. Further, we find mixed evidence consistent with the notion that managers' propensity to listen is related to agency costs. We find that firms tend to listen to the market more when more of their shares are held by large blockholders, and when their CEOs have higher pay-performance sensitivities.     

Stock market short-termism—an international perspective

This study uses a VAR approach with a time-varying risk premium to see if stock market investors are short-term oriented, placing too much weight on current and near cash flows. Using aggregate stock market data for Australia, Germany, Japan, USA and UK markets (1977–1999), we find the degree of persistent under-valuation of future cash flows is far higher in the UK relative to the other countries in our sample, and is market-wide. Also, over the period, US investors appear to have consistently underestimated long horizon cash flows in current stock market valuations relative to a rational valuation model.     

A cross-currency Lévy market model

The Lévy Libor or market model which was introduced in Eberlein and Özkan (The Lévy Libor model. Financ. Stochast., 2005, 9, 327–348) is extended to a multi-currency setting. As an application we derive closed form pricing formulas for cross-currency derivatives. Foreign caps and floors and cross-currency swaps are studied in detail. Numerically efficient pricing algorithms based on bilateral Laplace transforms are derived. A calibration example is given for a two-currency setting (EUR, USD).     

Can hedge funds time market liquidity?

We explore a new dimension of fund managers' timing ability by examining whether they can time market liquidity through adjusting their portfolios' market exposure as aggregate liquidity conditions change. Using a large sample of hedge funds, we find strong evidence of liquidity timing. A bootstrap analysis suggests that top-ranked liquidity timers cannot be attributed to pure luck. In out-of-sample tests, top liquidity timers outperform bottom timers by 4.0–5.5% annually on a risk-adjusted basis. We also find that it is important to distinguish liquidity timing from liquidity reaction, which primarily relies on public information. Our results are robust to alternative explanations, hedge fund data biases, and the use of alternative timing models, risk factors, and liquidity measures. The findings highlight the importance of understanding and incorporating market liquidity conditions in investment decision making.     

The impact of derivatives hedging on the stock market: Evidence from Taiwan’s covered warrants market

We examine the impact of derivatives hedging on the spot market using accurate hedge ratios of covered warrants traded in the Taiwan Stock Exchange (TWSE). Results present significant positive abnormal returns and trading volumes before the announcement of a warrant’s issuance, and the effect is stronger when the hedging demand is larger. Moreover, a significantly positive relationship exists between stock return volatility and the price elasticity of hedging demand. Finally, we observe a significantly negative price effect upon the underlying stock after a call warrant has expired in-the-money due to the liquidation of hedging portfolios.     

Does sukuk market development spur economic growth?

We investigate the impact of sukuk market development on economic growth using a sample comprising all sukuk-issuing countries spanning the period 1995–2015. We use the system GMM estimator to tackle potential omitted variable bias, endogeneity, and simultaneity issues. We report a strong and robust evidence that sukuk market development is conducive to economic growth, even after controlling for various measures of financial market development, institutional quality, and classical determinants of economic growth. In addition, the evidence does not support the well-known positive association between financial development and economic growth. We conclude that the development of sukuk markets may have promoted financial inclusion by eliminating the negative effects of religious self-exclusion, which stimulates investment and economic growth.     

Does the weather affect stock market volatility?

This paper investigates the empirical association between stock market volatility and investor mood-proxies related to the weather (cloudiness, temperature and precipitation) and the environment (nighttime length). Overall, our results suggest that cloudiness and length of nighttime are inversely related to historical, implied and realized measures of volatility. The strength of association seems to vary with the location of an exchange on Earth with respect to the equator. Weather deviations from seasonal norms and dummies representing extreme weather conditions do not offer additional explanatory power in our datasets.     

Do mutual fund managers time market liquidity?

This paper examines mutual fund managers' ability to time market-wide liquidity. Using the CRSP mutual fund database, we find strong evidence that over the 1974–2009 period, mutual fund managers demonstrate the ability to time market liquidity at both the portfolio level and the individual fund level. Liquidity timing predicts future fund performance and the difference in the risk-adjusted returns between top and bottom liquidity-timing funds is approximately 2% per year. Funds exhibiting liquidity-timing ability tend to have longer histories, higher expense ratios, and higher turnover rates.