Intra Day Bid‐Ask Spreads, Trading Volume and Volatility: Recent Empirical Evidence from the London Stock Exchange

With the benefit of very high frequency (25 million 1 minute observations) and recent data (2001) for the UK, this paper explores a number of intra day patterns of stock market behaviour. More specifically, a distinct reverse J shaped bid‐ask spread pattern is noted for SETS securities, a declining bid‐ask spread pattern for non‐SETS securities, a two hump pattern for trading volume and a U‐shaped pattern for returns volatility for all securities. In terms of complementing the existing literature, the paper shows that differences in trading systems may affect the bid‐ask spread patterns, while differences in market environments (i.e. US and UK markets) seems to affect the trading volume pattern. The paper suggests avenues for future research, in particular, the need to consider what factors are significant in determining intra day patterns for different trading systems and the need for additional cross‐market comparisons to identify how institutional factors affect the behaviour of investors on an intra day basis.     

The asset pricing effects of UK market liquidity shocks: Evidence from tick data

Using tick data covering a 12 year period including much of the recent financial crisis we provide an unprecedented examination of the relationship between liquidity and stock returns in the UK market. Previous research on liquidity using high frequency data omits the recent financial crisis and is focused on the US, which has a different market structure to the UK. We first construct several microstructure liquidity measures for FTSE All Share stocks, demonstrating that tick data reveal patterns in intra-day liquidity not observable with lower frequency daily data. Our asymptotic principal component analysis captures commonality in liquidity across stocks to construct systematic market liquidity factors. We find that cross-sectional differences in returns exist across portfolios sorted by liquidity risk. These are strongly robust to market, size and value risk. The inclusion of a momentum factor partially explains some of the liquidity premia but they remain statistically significant. However, during the crisis period a long liquidity risk strategy experiences significantly negative alphas.     

Relationship between gold and stock markets during the global financial crisis: Evidence from nonlinear causality tests

This paper investigates the nonlinear dynamic co-movements between gold returns, stock market returns and stock market volatility during the recent global financial crisis for the UK (FTSE 100), the US (S&P 500) and Japan (Nikkei 225). Initially, the bivariate dynamic relationships between i) gold returns and stock market returns and ii) gold returns and stock market volatility are tested; both of these relationships are further investigated in the multivariate nonlinear settings by including changes in the three-month LIBOR rates. In this paper correlation integrals based on the bivariate model show significant evidence of nonlinear feedback effect among the variables during the financial crisis period for all the countries understudy. Very limited evidence of significant feedback is found during the pre-crisis period. Results from the multivariate tests including changes in the LIBOR rates provide results similar to the bivariate results. These results imply that gold may not perform well as a safe haven during the financial crisis period due to the bidirectional interdependence between gold returns and, stock returns as well as stock market volatility. However, gold may be used as a hedge against stock market returns and volatility in stable financial conditions.     

Interdependence and Volatility Spillovers Under Market Liberalization: The Case of Istanbul Stock Exchange

This paper analyzes stock returns and volatility relations between the Istanbul Stock Exchange (ISE) and the global market as represented by stock markets in the US, the UK, Japan and Germany. Results from monthly data and multivariate cointegration tests suggest that the ISE became significantly integrated in the global market only in the period following market liberalization in late 1989. We also find evidence based on GARCH estimations that capital liberalization actually mitigated, rather than intensified, volatility in the ISE. Our results further suggest that the Asian crisis in mid‐1997 and the consequent Russian economic meltdown in mid‐1998 are partly responsible for the recent excessive volatility in the Turkish market. The results also identify the US and the UK markets as dominate sources of volatility spillovers for the ISE, even in the period following the Asian‐Russian crises. Consequently, it appears that the two matured markets of the US and the UK shoulder significant responsibility for the stability and financial health of smaller emerging markets like the ISE.     

The Predictive Power of "Head-and-Shoulders" Price Patterns in the U.S. Stock Market

We use the pattern recognition algorithm of Lo, Mamaysky, andWang (2000) with some modifications to determine whether "head-and-shoulders"(HS) price patterns have predictive power for future stock returns.The modifications include the use of filters based on typicalprice patterns identified by a technical analyst. With datafrom the S&P 500 and the Russell 2000 over the period 1990–1999we find little or no support for the profitability of a stand-alonetrading strategy. But we do find strong evidence that the patternhad power to predict excess returns. Risk-adjusted excess returnsto a trading strategy conditioned on "head-and-shoulders" pricepatterns are 5–7% per year. Combining the strategy withthe market portfolio produces a significant increase in excessreturn for a fixed level of risk exposure.     

Real‐Time Risk Pricing Over the Business Cycle: Some Evidence for the UK

Abstract:   The fully‐revised data typically utilized in empirical research do not reflect the true information available to financial market participants at the time of their decision‐making. This paper uses a new real‐time macroeconomic dataset to appraise the relative importance of different vintages of data on economic variables as determinants of UK stock returns using the framework of Arbitrage Pricing Theory. We find that two factors influence expected stock returns, namely unanticipated inflation and economic uncertainty, but only when measured in real‐time. Moreover, their pricing influence is only present during phases of the business cycle when their associated risks are at their most prevalent.     

US, UK and European Stock Market Integration

Abstract:   This paper examines long‐run convergence between US, UK and seven European stock markets. We report evidence to suggest that while real short‐run diversification gains may occur, in general they tend to be short‐lived. However we also find that US and UK markets are relatively less bound to a common trend, which would imply that increased stock market merger activity, and any transition to the European common currency by the UK, may lead to relatively large stock market adjustments as markets adapt to these institutional changes.     

Are stock markets really efficient? Evidence of the adaptive market hypothesis

This study examines the adaptive market hypothesis in the S&P500, FTSE100, NIKKEI225 and EURO STOXX 50 by testing for stock return predictability using daily data from January 1990 to May 2014. We apply three bootstrapped versions of the variance ratio test to the raw stock returns and also whiten the returns through an AR-GARCH process to study the nonlinear predictability after accounting for conditional heteroscedasticity through the BDS test. We evaluate the time-varying return predictability by applying these tests to fixed-length moving subsample windows and also examine whether there is a relationship between the level of predictability in stock returns and market conditions. The results show that there are periods of statistically significant return predictability, but also episodes of no statistically significant predictability in stock returns. We also find that certain market conditions are statistically significantly related to predictability in certain markets but each market interacts differently with the different market conditions. Therefore our findings suggest that return predictability in stock markets does vary over time in a manner consistent with the adaptive market hypothesis and that each market adapts differently to certain market conditions. Consequently our findings suggest that investors should view each market independently since different markets experience contrasting levels of predictability, which are related to market conditions.     

THE OVERNIGHT AND DAILY TRANSMISSION OF STOCK INDEX FUTURES PRICES BETWEEN MAJOR INTERNATIONAL MARKETS

Stock index futures prices for the world's major equity markets, Japan, the UK and the US, are used to examine the interaction of international equity markets. By using stock index futures prices, we avoid the nonsynchronous data problem inherent with opening and closing market averages. We find that the US is the dominant world market; overnight returns in Japan and the UK are greatly influenced by the US daily returns. In contrast, the Japanese market has no impact on the overnight or daily returns in the UK, while the UK daily performance has a small influence on Japanese overnight returns. Slight evidence of over-reaction at the opening of Japanese futures exists as the daily Nikkei returns are negatively related to the US returns.     

CAPM, Higher Co‐moment and Factor Models of UK Stock Returns

In this paper we examine the variables that explain the cross‐section of UK stock returns. Previous studies have found that the CAPM beta has moderate or even insignificant explanatory power once the Fama French factors are included. However, we control for different realised risk premia in up and down markets by using the same methodology as Pettengill, Sundaram and Mathur (1995). Unlike previous work, we find that beta is highly significant in explaining the cross‐section of UK stock returns and more importantly remains significant even when the Fama French factors are included in the cross‐sectional regressions. We also investigate whether higher co‐moments (co‐skewness and co‐kurtosis) have any explanatory power but find that empirical support is weaker.     

The Role of Payout Ratio in the Relationship Between Stock Returns and Dividend Yield

Abstract:   This paper examines the relationship between returns and dividend yield in the UK stock market, and introduces earnings‐related data to the asset pricing model in the form of payout ratio. The latter has a considerable effect upon the inferences which would otherwise be drawn from a study of the dividend yield‐returns relationship in the absence of such earnings information. Payout ratio conveys additional signalling information and is an important adjunct to dividend yield in explaining returns.     

Concentration of the UK Stock Market

Abstract:  During 1999 and 2000 a large number of articles appeared in the financial press which argued that the concentration of the FTSE 100 had increased. Many of these reports suggested that stock market volatility in the UK had risen, because the concentration of its stock markets had increased. This study undertakes a comprehensive measurement of stock market concentration using the FTSE 100 index. We find that during 1999, 2000 and 2001 stock market concentration was noticeably higher than at any other time since the index was introduced. When we measure the volatility of the FTSE 100 index we do not find an association between concentration and its volatility. When we examine the variances and covariance's of the FTSE 100 constituents we find that security volatility appears to be positively related to concentration changes but concentration and the size of security covariances appear to be negatively related. We simulate the variance of four versions of the FTSE 100 index; in each version of the index the weighting structure reflects either an equally weighted index, or one with levels of low, intermediate or high concentration. We find that moving from low to high concentration has very little impact on the volatility of the index. To complete the study we estimate the minimum variance portfolio for the FTSE 100, we then compare concentration levels of this index to those formed on the basis of market weighting. We find that realised FTSE index weightings are higher than for the minimum variance index.     

The Real Options Component of Firm Market Value: The Case of the Technological Corporation

Abstract:   This paper tests whether stock prices reflect investor's expectations regarding the value of real options. The analysis is implemented based on a sample of 391 high‐tech companies listed on main OECD stock markets during the period December 1994 through December 2000. Results confirm the predicted relation between the fraction of a firm's market value not accounted for by its assets‐in‐place, and a series of variables that are assumed to disclose its real options value, variables such as research and development activity, risk and skewness of stock returns, and size. The results are robust even after controlling for valuation date, sub‐industry, country, and alternative measures of risk.     

Glamour Acquirers, Method of Payment and Post‐acquisition Performance: The UK Evidence

We study the effect of different acquirer types, defined by financial status and their payment methods, on their short and long‐term performance, in terms of abnormal returns using a variety of benchmark models. For a sample of 519 UK acquirers during 1983–95, we examine the abnormal return performance of acquirers based on their pre‐bid financial status as either glamour or value acquirers using both the price to earnings (PE) ratio and market to book value ratio (MTBV). Value acquirers outperform glamour acquirers in the three‐year post‐acquisition period. One interpretation is that glamour firms have overvalued equity and tend to exploit their status and use it more often than cash to finance their acquisitions. As we move from glamour to value acquirers, there is a greater use of cash. Our results are broadly consistent with those for the US reported by Rau and Vermaelen (1998). However, in contrast to their study, we find stronger support for the method of payment hypothesis than for extrapolation hypothesis. Cash acquirers generate higher returns than equity acquirers, irrespective of their glamour/ value status. Our conclusions, based on four benchmark models for abnormal returns, suggest that stock markets in both the US and the UK may share a similar proclivity for over‐extrapolation of past performance, at least in the bid period. They also tend to reassess acquirer performance in the post‐acquisition period and correct this overextrapolation. These results have implications for the behavioural aspects of capital markets in both countries.     

Granger-causality in quantiles between financial markets: Using copula approach

This paper considers the Granger-causality in conditional quantile and examines the potential of improving conditional quantile forecasting by accounting for such a causal relationship between financial markets. We consider Granger-causality in distributions by testing whether the copula function of a pair of two financial markets is the independent copula. Among returns on stock markets in the US, Japan and U.K., we find significant Granger-causality in distribution. For a pair of the financial markets where the dependent (conditional) copula is found, we invert the conditional copula to obtain the conditional quantiles. Dependence between returns of two financial markets is modeled using a parametric copula. Different copula functions are compared to test for Granger-causality in distribution and in quantiles. We find significant Granger-causality in the different quantiles of the conditional distributions between foreign stock markets and the US stock market. Granger-causality from foreign stock markets to the US stock market is more significant from UK than from Japan, while causality from the US stock market to UK and Japan stock markets is almost equally significant.     

The Weekend and 'Reverse' Weekend Effects: An Analysis by Month of the Year, Week of the Month, and Industry

In this paper, we examine whether the 'reverse' weekend effect recently documented by Brusa, Liu and Schulman (2000) is concentrated in a few industries or widely spread across all the industries. The findings in this paper indicate that the 'reverse' weekend effect exists not only in broad indices, but also in most industries . The results suggest that the 'reverse' weekend effect may be driven by economic events that affect all industries, rather than industry‐specific factors . Although the patterns of Monday returns are similar between broad indices and industry indices, they are different between the pre ‐ and the post ‐1988 periods. Monday returns tend to be negative in the pre ‐1988 period, but tend to be positive in the post ‐1988 period, for both broad market indices and industry indices. These conclusions are valid even after considering the influence of the month‐of‐the‐year and the week‐of‐the‐month effects.     

Does the stock market predict real activity? Time series evidence from the G-7 countries

This paper extends one aspect of the US stock market study of Fama (1990) and Schwert (1990). We examine the relationship between industrial production (IP) growth rates and lagged real stock returns for the G-7 countries using both in-sample cointegration and error-correction models and the out-of-sample forecast-evaluation procedure of Ashley et al. (1980). The cointegration tests show a long-run equilibrium relationship between the log levels of IP and real stock prices, while the error-correction models indicate a correlation between IP growth and lagged real stock returns for all countries except Italy. The out-of-sample tests show that in several sub-periods the US, UK, Japanese, and Canadian stock markets enhance predictions of future IP.     

Impact of COVID-19 on stock market efficiency: Evidence from developed countries

This study investigates the impact of the novel coronavirus (COVID-19) pandemic on stock market efficiency for six hard-hit developed countries, namely, the United States (US), Spain, the United Kingdom (UK), Italy, France, and Germany. Applying the wild bootstrap automatic variance ratio test on daily stock market data from July 29, 2019 to January 25, 2021, it is found that all stock markets used in this study deviate from market efficiency during some periods of the pandemic. Deviations from market efficiency are seen more in the stock markets of the US and UK during the COVID-19 outbreak than in other stock markets. These results are strengthened when a different econometric method, the automatic portmanteau test, is used. The findings of this study indicate an increasing chance for stock price predictions and abnormal returns during the COVID-19 pandemic.     

An analysis of option pricing under systematic consumption risk using GARCH

An issue in the pricing of contingent claims is whether to account for consumption risk. This is relevant for contingent claims on stock indices, such as the FTSE 100 share price index, as investor’s desire for smooth consumption is often used to explain risk premiums on stock market portfolios, but is not used to explain risk premiums on contingent claims themselves. This paper addresses this fundamental question by allowing for consumption in an economy to be correlated with returns. Daily data on the FTSE 100 share price index are used to compare three option pricing models: the Black–Scholes option pricing model, a GARCH (1, 1) model priced under a risk-neutral framework, and a GARCH (1, 1) model priced under systematic consumption risk. The findings are that accounting for systematic consumption risk only provides improved accuracy for in-the-money call options. When the correlation between consumption and returns increases, the model that accounts for consumption risk will produce lower call option prices than observed prices for in-the-money call options. These results combined imply that the potential consumption-related premium in the market for contingent claims is constant in the case of FTSE 100 index options.     

Evaluating the Performance of Ethical and Non‐ethical Funds: A Matched Pair Analysis

Abstract:   This paper studies the performance of 60 European funds from four countries. The paper extends the UK matched pair approach for fund evaluation developed by Mallin et al. (1995) to a European setting. The findings suggest that there is no difference between ethical and non‐ethical funds according to the performance measures employed. Neither type of fund displayed any ability to time the market. Finally, the results indicate that the management fee is a significant explanatory variable for the Jensen measure as Chen et al. (1992) and Grinblatt and Titman (1994) suggested.