The market reaction to cross-listings: Does the destination market matter?

This paper examines (i) whether market reactions to cross-listings differ across destination markets and (ii) to what extent the following explanations for value creation around cross-listings can account for differences in market reactions across cross-listings on various destination markets: overcoming market segmentation, increased market liquidity, improved information disclosure, and better investor protection (“bonding”). We analyze 526 cross-listings from 44 different countries on eight major stock exchanges and document significant announcement returns of 1.3% on average for cross-listings on US exchanges, 1.1% on London Stock Exchange, 0.6% on exchanges in continental Europe, and 0.5% (not significant) on Tokyo Stock Exchange. We find evidence consistent with improved disclosure and bonding creating value for cross-listings on US exchanges, while overcoming segmentation and bonding are associated with higher announcement returns on the London Stock Exchange. The evidence is mixed for continental European exchanges and for Tokyo. Our results highlight the role of the destination market in value creation around cross-listings.     

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.     

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.     

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.     

Has the CDS market lowered the cost of corporate debt?

Many have claimed that credit default swaps (CDSs) have lowered the cost of debt financing to firms by creating new hedging opportunities and information for investors. This paper evaluates the impact that the onset of CDS trading has on the spreads that underlying firms pay to raise funding in the corporate bond and syndicated loan markets. Employing a range of methodologies, we fail to find evidence that the onset of CDS trading lowers the cost of debt financing for the average borrower. Further, we uncover economically significant adverse effects on risky and informationally opaque firms.     

Does knowing the volatility states affect the market risk premium?

Mayfield (J Financ Econ 73:465–496, 2004) has devised a method for estimating the market risk premium, based on a variant of Merton’s ICAPM wherein volatility is specified as a two-state Markov process. In this study, we assess Mayfield’s key assumption that investors know the current volatility state with certainty, via empirical testing of the assumption of exogenous Markov-switching in Mayfield’s model. We detect strong evidence of endogenous switching. This indicates that investors infer the current volatility state, as opposed to simply observing it. We also find that the risk premium estimates are affected by the switching type.     

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.     

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.     

What drives the market value of firms in the defense industry?

This article assesses the relative importance of different types of news in driving significant stock price changes in the defense industry. We implement a systematic event study with the 58 largest publicly listed companies in the defense industry, over the time period 1995-2005. We first identify, for each firm, the statistically significant abnormal returns over the time period. Then, we look for information releases likely to cause such stock price movements. Most of the key drivers in the defense industry are the same as in other industries (key role of formal earnings announcements and analysts’ recommendations) but we also identify some specific features, in particular the influence of geopolitical events and the relevance and frequency of bids and contracts on stock prices. Finally, we examine the impact of the September 11 terrorist attacks on defense firms.     

Do accruals exacerbate information asymmetry in the market?

A considerable body of evidence, both archival and experimental, suggests that accounting accruals are heterogeneously interpreted by investors. We examine whether the information asymmetry among investors arising from this heterogeneous interpretation, implied in these empirical results, affects transactions costs in the form of the adverse selection component of the bid-ask spread. We examine this impact both, in a yearly setting and around the first release of quarterly accrual information. The results of the study provide empirical evidence of a positive association between the adverse selection component and accruals in the yearly analysis. Since wider bid-ask spreads are both theoretically and empirically linked to higher stock returns (Brennan & Subrahmanyam, 1996), our results provide a transaction cost basis for understanding one possible factor underlying the linkage between accruals and cost of equity capital, and accruals and information risk pricing as documented in Francis et al. (2005) and Ecker et al. (2006).     

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.     

The risk–return relations in the Singapore stock market

This paper examines the risk–return relations in the Singapore stock market for the period April 1986 to December 1998. Though beta is significantly related to realized returns, the explanatory power is low. Adding other stock characteristics such as skewness and kurtosis provides limited incremental benefits. However, when a conditional framework based on up and down markets is introduced, the explanatory power increases more than 100 times and there is a significant positive (negative) relation between beta and returns when the market excess returns are positive (negative). The same relation applies when unsystematic risk, total risk and kurtosis are added separately to the beta–return relation during up and down markets with increased explanatory power. Our results indicate that other stock characteristics in addition to beta are also important in pricing risky assets and investors do not hold diversified portfolios. Our results are also checked and compared with another conditional model with time-varying betas conditional on a set of economic variables.     

Did CDS trading improve the market for corporate bonds?

Financial innovation through the creation of new markets and securities impacts related markets as well, changing their efficiency, quality (pricing error), and liquidity. The credit default swap (CDS) market was undoubtedly one of the salient new markets of the past decade. In this paper we examine whether the advent of CDS trading was beneficial to the underlying secondary market for corporate bonds. We employ econometric specifications that account for information across CDS, bond, equity, and volatility markets. We also develop a novel methodology to utilize all observations in our data set even when continuous daily trading is not evidenced, because bonds trade much less frequently than equities. Using an extensive sample of CDS and bond trades over 2002–2008, we find that the advent of CDS was largely detrimental. Bond markets became less efficient, evidenced no reduction in pricing errors, and experienced no improvement in liquidity. These findings are robust to various slices of the data set and specifications of our tests.     

Why do companies delist voluntarily from the stock market?

We analyse the motives and market valuation of voluntarily delisting from the London Stock Exchange. We show that firms that delist voluntarily are likely to have come to the market to rebalance their leverage rather than to finance their growth opportunities. During their quotation life, their leverage and insider ownership remained very high, they did not raise equity capital, and their profitability, growth opportunities, and trading volume declined substantially. They also generate negative pre-event and announcement date excess returns. These results hold even after controlling for agency, asymmetric information, and liquidity effects, and suggest that firms delist voluntarily when they fail to benefit from listing. Overall, these firms destroyed shareholder value and they should not have come to the market.     

Has the CDS market influenced the borrowing cost of European countries during the sovereign crisis?

This paper assesses the potential influence of the growing CDS market on the borrowing cost of sovereign states during the European sovereign crisis. We analyze the sovereign debt market to ascertain the pattern of information transmission between the CDS and corresponding bond markets. Our methodological innovation is the use of a non-linear specification rather than the linear VECM specification customarily employed. Using a panel smooth transition model during the 2008–2010 period, we find that: 1) linearity tests clearly reject the null hypothesis of a linear transmission mechanisms between the bond and the CDS markets; 2) market distress alters the mutual influence and 3) the higher the distress the more the CDS market dominates the information transmission between CDS and bond markets.     

What drives volatility persistence in the foreign exchange market?

We propose a new empirical specification of volatility that links volatility to the information flow, measured as the order flow in the market, and to the price sensitivity to that information. The time-varying market sensitivity to information is estimated from high-frequency data, and movements in volatility can therefore be directly related to movements in order flow and market sensitivity. Empirically, the model explains a large share of the long-run variation in volatility. Importantly, the time variation in the market's sensitivity to information is at least as relevant in explaining the persistence of volatility as the rate of information arrival itself. This may be evidence of a link between changes over time in the aggregate behavior of market participants and the time-series properties of realized volatility.     

Evolving regulations and emerging market challenges – the Indian context

The global financial crisis of 2007–2008 has led to important regulatory changes being initiated by a number of countries to segregate commercial banking from investment banking activities. The changes also encompass reforms in the OTC derivatives market segment, which is considered to be one of the root causes of the crisis. This article highlights the important regulatory change initiatives that are being undertaken to enhance the safety of the financial markets, their likely impact on the market participants and challenges to be faced in their implementation, especially in the Indian context. The article also analyses the changes taking place in the Indian forex derivatives market and touches upon the prospects of greater internationalization of the rupee against the backdrop of proactive steps taken by the Chinese authorities to internationalize renminbi in the post-crisis period.     

Does education affect how well students forecast the market?

This study examines the results of a student stock market forecasting project used in our basic and advanced investments classes. Students fail to outperform a random walk model over the entire period, but do perform well in some subperiods. Students receiving an above average grade in the basic investments class provide more accurate forecasts than all other groups of students. Further, poorer performing students tend to be more pessimistic in their expectations of the market. The results suggest that education improves the forecasting ability of students.     

“Swimming Ducks Forecast the Coming of Spring”—The predictability of aggregate insider trading on future market returns in the Chinese market

This study systematically examines the ability of aggregate insider trading to predict future market returns in the Chinese A-share market. After controlling for the contrarian investment strategy, aggregate executive(large shareholder)trading conducted over the past six months can predict 66%(72.7%) of market returns twelve months in advance. Aggregate insider trading predicts future market returns very accurately and is stronger for insiders who have a greater information advantage(e.g., executives and controlling shareholders).Corporate governance also affects the predictability of insider trading. The predictability of executive trading is weakest in central state-owned companies,probably because the "quasi-official" status of the executives in those companies effectively curbs their incentives to benefit from insider trading.The predictive power of large shareholder trading in private-owned companies is higher than that in state-owned companies, probably due to their stronger profit motivation and higher involvement in business operations. This study complements the literature by examining an emerging market and investigating how the institutional context and corporate governance affect insider trading.