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.     

A time–frequency comovement and causality relationship between Bitcoin hashrate and energy commodity markets

This study examines time–frequency relationship between Bitcoin prices and Bitcoin mining based on daily data from January 2013 to October 2018. Bitcoin mining is measured through Bitcoin hashrate, which represents the completion speed of the Bitcoin code. We also include three energy commodities, i.e. oil, coal, and gas in a multivariate model employing time–frequency wavelet extensions in the form of partial and multivariate models. Results of our study suggest that both oil and gas lead Bitcoin returns from mid 2014 till 2016 across 64– 128 days' period. Under the investment period of 64– 256, hashrate and Bitcoin returns share significant comovement in the presence of oil and natural gas however exhibit no comovement when the effect of coal market is considered. Our results of wavelet decomposition suggest that the magnitude of comovement ranging from short- to long-run is time varying. Finally, results of the causality on quantile test suggest that Bitcoin returns cause changes in Bitcoin hashrate mostly during median quantiles with an asymmetric pattern. Our work entail implications for investors in the Bitcoin and energy market and is also helpful in forecasting the pricing behavior of Bitcoin using the hashrate and vice versa.     

Asymmetric information,volatility components and the volume–volatility relationship for the CAC40 stocks

This paper investigates the relationship between trading volume components and various realized volatility measures for the CAC40 index constituents. A mixture-of-distribution model is used to decompose trading volume into informed and liquidity components. Realized volatility is broken down into continuous volatility and jumps. Our findings confirm the strong positive contemporaneous relationship between total trading volume and volatility when realized volatility and its continuous component are considered. A limited evidence of the effect of total trading volume on discontinuous volatility is found. The positive volume–volatility relationship is mainly driven by the informed component of trading volume. Conversely, liquidity volume is negatively related to realized volatility lending some support to the view that liquidity trading dampens the volatility of stock returns. A stronger negative relationship between liquidity volume and volatility jump is uncovered.     

The volume–volatility relationship and the opening of the Korean stock market to foreign investors after the financial turmoil in 1997

This paper investigates the stock volatility–volume relation in the Korean market for the period 1995–2001. Previous research examined the impact of liberalization on the Korean stock market up to the period before the financial turmoil in 1997 although the crucial measures of the liberalization were introduced after the crisis under the International Monetary Fund program. One of the major features of the reformation was the financial opening to foreign investors. In this study the ‘total’ trading volume is separated into the domestic investors’ and the foreign investors’ volume. By doing this the information used by two different groups of traders can be separated. Further, in addition to the absolute value of the returns and their squares we use the conditional volatility from a GARCH-type model as an alternative measure of stock volatility. The following observations, among other things, are noted about the volume–volatility causal relationship. First, for the entire period there is a strong bidirectional feedback between volume and volatility. In most cases this causal relationship is robust to the measures of volume and volatility used. Second, volatility is related only to ‘domestic’ volume before the crisis whereas after the crisis a bidirectional feedback relation between ‘foreign’ volume and volatility begins to exist. In other words, ‘foreign’ volume tends to have more information about volatility in recent years, which suggests the increased importance of ‘foreign’ volume as an information variable.      

Multiple time scales and the exponential Ornstein–Uhlenbeck stochastic volatility model

We study the exponential Ornstein–Uhlenbeck stochastic volatility model and observe that the model shows a multiscale behaviour in the volatility autocorrelation. It also exhibits a leverage correlation and a probability profile for the stationary volatility which are consistent with market observations. All these features make the model quite appealing since it appears to be more complete than other stochastic volatility models also based on a two-dimensional diffusion. We finally present an approximate solution for the return probability density designed to capture the kurtosis and skewness effects.     

Understanding the relationship between founder–CEOs and firm performance

We use instrumental variables methods to disentangle the effect of founder–CEOs on performance from the effect of performance on founder–CEO status. Our instruments for founder–CEO status are the proportion of the firm's founders that are dead and the number of people who founded the company. We find strong evidence that founder–CEO status is endogenous in performance regressions and that good performance makes it less likely that the founder retains the CEO title. After factoring out the effect of performance on founder–CEO status, we identify a positive causal effect of founder–CEOs on firm performance that is quantitatively larger than the effect estimated through standard OLS regressions. We also find that founder–CEOs are more likely to relinquish the CEO post after periods of either unusually low or unusually high operating performances. All in all, the results in this paper are consistent with a largely positive view of founder control in large US corporations.     

An examination of the relationship between the disposition effect and gender,age, the traded security,and bull–bear market conditions

We analyze how gender and age, internal characteristics of retail futures traders—one that remains fixed while the other changes over a lifetime—and the security being traded and bull–bear market conditions, two external factors, are related to the disposition effect by separately tracking their trade-by-trade transaction histories over a period of close to six years on the Taiwan Futures Exchange (TAIFEX). We show that women and mature traders, compared with their male and younger counterparts, exhibit a stronger disposition effect. The effect is also stronger among traders who trade financial-sector futures contracts than among those who trade electronic-sector futures contracts. We further demonstrate that a bear market sees a stronger disposition effect.     

Is the relationship between investment and conditional cash flow volatility ambiguous,asymmetric or both?

We investigate the effect of cash flow volatility on investment. Our evidence suggests that financially constrained firms decrease investment (i) when experiencing persistently high volatility; (ii) when experiencing both high volatility and negative cash flow growth realisations; and (iii) when holding low cash levels and experiencing both high volatility and a negative cash flow growth realisations. In financially unconstrained firms, the above effects are either not found or are of relatively low economic importance. Overall, our findings lend support to the financial flexibility literature and tend to contradict predictions of the real options literature.     

Are idiosyncratic volatility and MAX priced in the Canadian market?

The negative relationship between realized idiosyncratic volatility (RIvol) and future returns uncovered by Ang et al. (2006) for the U.S. market has been attributed to return reversals. For the Canadian market where return reversals are considerably less important, we find that RIvol is positively related to future returns, even after controlling for risk loadings, illiquidity and reversals. Unlike the findings of Bali et al. (2001) for the U.S. market, we find that the relationship between extreme positive returns (MAX) and future returns for the Canadian market is positive and that idiosyncratic volatility continues to be consistently positively related to future returns after controlling for MAX. We find evidence that suggests that reversals for stocks with extreme daily returns are confined to (typically small) stocks with low institutional holdings.     

Concentrate or diversify? The relationship between tenant concentration and REIT performance

Review of Quantitative Finance and Accounting - This paper examines how a concentrated tenant base affects the operating performance and market valuations of US REITs. We observe that REITs...     

Dodd–Frank's impact on community-bank investment models: A Bayesian structural time series analysis

We use Bayesian structural time series (BSTS) methodology to test whether the Wall Street Reform and Consumer Protection Act of 2010 (DF) caused changes in community bank business models. The BSTS methodology uses the pre-DF period to create synthetic counterfactuals for community-bank dependent variables of interest. In the post-DF period, the counterfactuals become predictions of the dependent variables had DF not been enacted. Comparing post-DF predicted versus actual dependent variables allows us to estimate the causal impact of DF on these variables of interest. We find that relative to assets, community banks significantly reduce their lending activities and significantly increase investment in securities and excess reserves.     

Where are the sources of stock market mispricing and excess volatility?

Using a simple dividend model, we illustrate and synthesize the sources of stock market mispricing and excess volatility based upon two hypotheses—inflation illusion and heterogeneous beliefs. Our theoretical framework posits that equity mispricing arises when investors have subjective expectations about discount rates or dividend growth rates. We then analyze the sources of equity mispricing and market excess volatility under a VAR framework. Empirically, we find that both inflation illusion and heterogeneous beliefs explain equity mispricing. However, heterogeneous beliefs play a more important role in explaining stock mispricing in the long run. We also find that heterogeneous beliefs cause excess volatility, but inflation illusion does not. Therefore, dispersion in investors’ beliefs is a better explanation of stock market mispricing than the investors’ inability to properly discount future cash flows.     

The chicken or the egg? A note on the dynamic interrelation between government bond spreads and credit default swaps

This note provides the first empirical assessment of the dynamic interrelation between government bond spreads and their associated credit default swaps (CDS). We use data for the Southern European countries (Greece, Italy, Portugal and Spain) that found themselves with a problematic public sector in the dawn of the recent financial distress. We find that CDS prices Granger-cause government bond spreads after the eruption of the 2007 sub-prime crisis. Feedback causality is detected during periods of financial and economic turmoil, thereby indicating that high risk aversion tends to perplex the transmission mechanism between CDS prices and government bond spreads.     

The lead–lag relationship between the spot and futures markets in China

Based on daily and one-minute high-frequency returns, this paper examines the lead–lag dependence between the CSI 300 index spot and futures markets from 2010 to 2014. A nonparametric and non-linear method based on the thermal optimal path method is adopted. Empirical results of the daily data indicate that the lead–lag relationship between the two markets is within one day but this relationship is volatile since neither of the two possible situations (the futures leads or lags behind the spot market) takes a dominant place. Our results using the high-frequency data demonstrate that there is a price discovery in the Chinese futures market: the intraday one-minute futures return leads the cash return by 0–5 min regardless of the price trend of the market.     

The relationship between pension funds and the stock market: Does the aging population of Europe affect it?

In recent decades, pension fund investment has increased rapidly because of population aging and growing doubts about the viability of western public pension systems. As a result, pension funds have become dominant in stock markets. This paper examines the influence of the pension fund assets invested in equities on stock market development and the market efficiency of 13 European countries, from 1999 to 2014. Our results vary by country, by pension model and among the one-model countries. Nevertheless, revealing a concern about saving for retirement. Finally, our efficiency analysis reveals that the influence of pension funds varies over time and across markets, due to arbitrage opportunities that provoke adaptive managerial strategies.     

The relationship between banking market competition and risk-taking: Do size and capitalization matter?

This paper addresses the effects of bank competition on the risk-taking behaviors of banks in 10 Latin American countries between 2003 and 2008. We conduct our empirical approach in two steps. First, we estimate the Boone indicator, which is a measure of competition. We then regress this measure and other explanatory variables on the banking “stability inefficiency” derived simultaneously from the estimation of a stability stochastic frontier. Unlike previous findings, this paper concludes that competition affects risk-taking behavior in a non-linear way as both high and low competition levels enhance financial stability, while we find the opposite effect for average competition. In addition, bank size and capitalization are essential factors in explaining this relationship. On the one hand, the larger a bank is, the more it benefits from competition. On the other hand, a greater capital ratio is advantageous for banks that operate in collusive markets, while capitalization only enhances the stability of larger banks under high and average competition. These results are of extreme importance when considering bank regulations, especially in light of the recent turmoil in the global financial markets.     

The relationship between size,book-to-market equity ratio,earnings–price ratio,and return for the Hong Kong stock market

In this paper, we investigate the relation between stock returns and β, size (ME), leverage, book-to-market equity ratio, and earnings–price ratio (E/P) in Hong Kong stock market using the Fama and French (FF) [J. Finance 47 (1992) 427] approach. FF find that two variables, size and book-to-market equity, combine to capture the cross-sectional variation in average stock returns associated with β, size, leverage, book-to-market equity, and E/P ratios. In this paper, similar to previous studies in Hong Kong and US stock markets, we find that β is unable to explain the average monthly returns on stocks continuously listed in Hong Kong Stock Exchange for the period July 1984–June 1997. But three of the variables, size, book-to-market equity, and E/P ratios, seem able to capture the cross-sectional variation in average monthly returns over the period. The other two variables, book leverage and market, are also able to capture the cross-sectional variation in average monthly returns. But their effects seem to be dominated by size, book-to-market equity, and E/P ratios, and considered to be redundant in explaining average returns when size, book-to-market equity, and E/P ratios are also considered. The results are consistent across subperiods, across months, and across size groups. These suggest that the results are not driven by extreme observations or abnormal return behavior in some of the months or by size groups.     

Relation between bid–ask spread,impact and volatility in order-driven markets

We show that the cost of market orders and the profit of infinitesimal market-making or -taking strategies can be expressed in terms of directly observable quantities, namely the spread and the lag-dependent impact function. Imposing that any market taking or liquidity providing strategies is at best marginally profitable, we obtain a linear relation between the bid–ask spread and the instantaneous impact of market orders, in good agreement with our empirical observations on electronic markets. We then use this relation to justify a strong, and hitherto unnoticed, empirical correlation between the spread and the volatility per trade, with R ²s exceeding 0.9. This correlation suggests both that the main determinant of the bid–ask spread is adverse selection, and that most of the volatility comes from trade impact. We argue that the role of the time-horizon appearing in the definition of costs is crucial and that long-range correlations in the order flow, overlooked in previous studies, must be carefully factored in. We find that the spread is significantly larger on the NYSE, a liquid market with specialists, where monopoly rents appear to be present.     

Is the relationship between prices and exchange rates homogeneous?

Empirical tests of purchasing power parity (PPP) are implicitly based on the conditions of symmetry and proportionality of the price coefficients. We investigate a separate condition, which we term homogeneity. Specifically, while there may be factors that drive a wedge between prices and exchange rates, when these factors are held constant we would expect a change in exchange rates to be associated with a proportional, or homogeneous, change in prices. To test for the existence of homogeneity in prices, we conduct two experiments. First, we apply a time-varying-coefficient procedure to nine euro-area countries as well as the euro area as a whole during the (monthly) sample period, 1999:M1 to 2011:M3. Second we apply the same procedure to the same group of countries, plus Canada, Japan and Mexico, over the longer period, 1957:M4 to 2011:M3. We find that averages of the price coefficients, corrected for specification biases, are uniformly homogeneous in the long run, providing strong support for PPP.     

The impact of a new term auction facility on Libor–OIS spreads and volatility transmission between money and mortgage markets during the subprime crisis

During the subprime crisis, the U.S. Federal Reserve was concerned about widening spreads between overnight interbank lending rates such as the overnight index swap (OIS) and term London Interbank Offer Rate (Libor). Among the tools it used to counter the impact of the crisis, the innovative term auction facility (TAF) attracted much attention. We investigate the impact of the TAF on the Libor–OIS spread. We find that the TAF has clear initial and sustained expectation effects on the three-month Libor–OIS spread, but no real initial or short-term funding effects, which casts doubt on the usefulness of the TAF in reducing risk spreads. Since the subprime crisis also spilled across the interbank, commercial paper, and jumbo mortgage markets, we further examine the lead–lag relation between Libor–OIS, commercial paper, and jumbo spreads and the volatility transmission effects between them. For the period before the crisis, we find that the three markets behave largely independently. For the subprime crisis period, however, we find multidirectional lead–lag relations and one-way volatility transmission between these markets.