An Empirical Examination of the Dissemination of Equity Price Innovations Between the Emerging Markets of Nordic-Baltic States and Major Advanced Markets

: We employ three econometric models to examine the relative influence of the stock markets of the United States, the United Kingdom, France, and Germany on the stock markets of the Nordic-Baltic states. The results show that the Nordic-Baltic markets respond to price innovations from the United States, the United Kingdom, France, and Germany in diverse ways in the period 2001–2013. Response patterns for Finland, Norway, Sweden, Iceland, and Denmark are more significant to market innovations from the United States, the United Kingdom, and France, and less significant to those from Germany. German influence is more significant over Latvia, Lithuania, and Estonia than the rest of the advanced markets. While the dynamics of the Nordic-Baltic markets exhibit a dominance of own price innovation, the influence of the United States is stronger than that of France, the United Kingdom, and Germany. These results imply that investors from the Nordic States may derive greater benefits by diversifying into Germany and vice versa, rather than diversifying into the United States, the United Kingdom, or France. Investors from the Baltic States may obtain greater advantages by adopting portfolio strategies that take advantage of potentially better diversification benefits obtainable from the United States, the United Kingdom, and France rather than from Germany, and the reverse will also be in order.     

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.     

Spillover of fear: Evidence from the stock markets of five developed countries

This study investigates the spillover effect in five leading stock markets (i.e., the United States, the United Kingdom, Germany, Japan, and France). It estimates the spillover indices of these countries and finds that information transmission between these stock markets increases considerably after 1998. Germany and the United States are the main stock markets conveying information to other international markets. Germany primarily influences the French stock market, and the United States significantly influences many other stock markets. Results show that the US stock market shows three periods during which its net spillover effect exceeds zero: the period prior to 1997, the dot-com bubble from 2000 to 2002, and the subprime mortgage crisis and Lehman Brothers bankruptcy from 2007 to 2008. The fear index correlates significantly with the spillover of the US stock market into other markets. The spillover effect of the US stock market demonstrates asymmetry and the likelihood to spread positive fundamental information and non-fundamental information (e.g., fear).     

Integration Between the Baltic and International Stock Markets

Using cointegration tests, this paper analyzes the existence of long-run relationships among Baltic stock markets and major international stock markets, including the United States, Japan, Germany, the United Kingdom, and France. Bivariate and multivariate cointegration tests indicate a common trend linking Latvia to European markets. Evidence indicates that the German market dominates this long-run relationship. In general, short-term Granger causality indicates causality running from the European markets to the Baltic markets, as well as among the Baltic states, excepting Latvian and Lithuanian short-term effects on the Estonian market. Overall, the results suggest that international investors can obtain diversification benefits given a long-term investment horizon because of the low degree of integration between the Baltic and international capital markets.     

The International Transmission of Money Market Fluctuations

This study analyzes the interdependence of money markets in Belgium, Canada, France, Germany, Italy, Japan, the Netherlands, Switzerland, the United Kingdom, and the United States. The authors estimate a vector-autoregression system using daily data on three-month money market rates from December 31, 1979, through February 28, 1990. Consistent with the notion of informational efficiency, money markets respond very rapidly to a shock in any one country. The U.S. market plays a leading role, in that the after-effects of a shock there are much stronger and last much longer than those of a shock elsewhere. In contrast with previous studies on stock markets, the responses are larger and more persistent, the markets are less interdependent, and the U.S. market is relatively less influential.     

Extreme Correlation of Stock and Bond Futures Markets: International Evidence

This study explores time‐varying extreme correlation of stock–bond futures markets in three major developed countries. In the United States and the United Kingdom, there is evidence of positive extreme stock–bond correlation when both futures markets are extremely bullish or bearish. In Germany, stock–bond futures extreme correlation is negative, suggesting the most diversification potentials of bond futures when German stock index futures market plunges. Macroeconomic news, the business cycle, and the stock market uncertainty all significantly affect the median stock–bond futures correlation. However, only the stock market uncertainty still significantly affects the extreme stock–bond futures correlation when the stock market is extremely bearish.     

Re-examination of international bond market dependence: Evidence from a pair copula approach

The finance literature provides substantial evidence on the dependence between international bond markets across developed and emerging countries. Early works in this area were based on linear models and multivariate GARCH models. However, based on the limitations of these models this paper re-examines the non-linearity, multivariate and tail dependence structure between government bond markets of the US, UK, Japan, Germany, Canada, France, Italy, Australia and the Eurozone, from January 1970 to February 2019 using ARMA-GARCH based pair- copula models. We find that the bond markets in our sample tend to have both upper tail dependence in terms of positive shocks and lower tail dependence in terms of negative shocks. The estimated C-vine shows Eurozone has the highest average dependency. The D-vine, with optimal chain dependency structure shows the best order of connectedness to be the UK, the USA, Italy, Japan, Eurozone, France, Canada, Germany and Australia. The R-vine copula results underline the complex dynamics of bond market relations existing between the selected economies. The estimated R-vine shows Eurozone, Germany and Australia are the most inter-connected nodes. The multivariate distribution structure (interdependency) of bond markets for all countries were modelled with the C-vine, D-vine and R-vine copulas. In this application, the R-vine copula allows for detailed modelling of all bond markets and hence provides a more accurate goodness of fit and mean square error for the interdependency between all markets. In light of the changing volatility in bond markets, we conduct additional tests using time-varying copulas and find that the dependence structure among the bond markets examined is time-varying with the dynamic dependence parameter plots revealing that the nature of the dependence structure is intense during crisis periods.     

MEAN AND VOLATILITY SPILLOVERS ACROSS MAJOR NATIONAL STOCK MARKETS: FURTHER EMPIRICAL EVIDENCE

This paper provides additional insight into the nature and degree of interdependence of stock markets of the United States, Japan, the United Kingdom, Canada, and Germany, and it reports the extent to which volatility in these markets influences expected returns. The analysis uses the multivariate GARCH-M model. Although they are considered weak, statistically significant mean spillovers radiate from stock markets of the U.S. to the U.K., Canada, and Germany, and then from the stock markets of Japan to Germany. No relation is found between conditional market volatility and expected returns. Strong time-varying conditional volatility exists in the return series of all markets. The own-volatility spillovers in the U.K. and Canadian markets are insignificant, supporting the view that conditional volatility of returns in these markets is “imported” from abroad, specifically from the U.S. Significant volatility spillovers radiate from the U.S. stock market to all four stock markets, from the U.K. stock market to the Canadian stock market, and from the German stock market to the Japanese stock market. The results are robust and no changes occur in the correlation structure of returns over time.     

Cross-border transmission of stock price volatility: evidence from the overlapping trading hours

Using high-frequency (5-minute returns) data, the transmission pattern of intraday volatility among three international stock markets (i.e., the United States, the United Kingdom, and Canada) during their overlapping trading hours (9:30–11:30 a.m. New York time). The major findings are as follows. First, the conditional variance of a domestic market is affected not only by the volatility surprises of its own market, but also by those of foreign markets. This finding holds for the United States as well as for Canada and the United Kingdom, implying that the information contained in the volatility surprises of each national market is clearly transmitted to other national markets. The volatility spillover is not unidirectional. Second, the magnitude of volatility spillover does not decrease monotonically as the lag length increases, indicating that the effect of a foreign volatility shock on the conditional variance of the domestic market tends to persist.     

The day of the week effect on stock market volatility and volume: International evidence

This study investigates the day of the week effect on the volatility of major stock market indexes for the period of 1988 through 2002. Using a conditional variance framework, we find that the day of the week effect is present in both return and volatility equations. The highest volatility occurs on Mondays for Germany and Japan, on Fridays for Canada and the United States, and on Thursdays for the United Kingdom. For most of the markets, the days with the highest volatility also coincide with that market's lowest trading volume. Thus, this paper supports the argument made by Foster and Viswanathan [Rev. Financ. Stud. 3 (1990) 593] that high volatility would be accompanied by low trading volume because of the unwillingness of liquidity traders to trade in periods of high stock market volatility.     

Nonlinear Cointegration Relationships Between Non-Life Insurance Premiums and Financial Markets

The aim of this article is to study the adjustment dynamics of the non-life insurance premium (NLIP) and test its dependence to the financial markets in five countries (Canada, France, Japan, the United Kingdom, and the United States). First, we justify the linkage between the insurance and the financial markets by the underwriting cycle theory and financial models of insurance pricing. Second, we examine the relationship between the NLIP, the interest rate, and the stock price using the recent developments of nonlinear econometrics. We use threshold cointegration models: the switching transition error correction models (STECM). We show that STECM perform better than a linear error correction model (LECM) to reproduce the NLIP dynamics. Our empirical results show that the adjustment of the NLIP in France, Japan, and the United States is rather discontinuous, asymmetrical, and nonlinear. Moreover, we suggest a strong evidence of significant linkages between insurance and financial markets, show two regimes for the NLIP, and find that the NLIP adjustment toward equilibrium is time varying with a convergence speed that varies according to the insurance disequilibrium size.     

Stock–bond dependence and flight to/from quality

This paper investigates the stock–bond dependence structure using a dependence-switching copula model. The model allows stock–bond dependence to switch between positive dependence regimes (contagions or crashes of the two markets during downturns or booms in both markets during upturns) and negative dependence regimes (flight-to-quality from stock markets to bond markets or flight-from-quality from bond markets to stock markets). Using data from four developed markets including the US, Canada, Germany, and France for the period between January 1985 and August 2022, we find that the within-country stock–bond (extreme) dependence could be both positive and negative. In the positive dependence regimes, the stock–bond dependence is asymmetric with stronger left tail dependence than the right tail dependence, giving evidence of a higher likelihood of joint stock–bond market crashes or contagions during market downturns than the collective stock–bond market booms. Under the negative dependence regimes, we find both flight-from-quality and flight-to-quality, with flight-to-quality being more dominant in the North American markets while flight-from-quality is more prominent in the European markets. Further, the dependence switches between positive and negative regimes over time. Moreover, the dependence is mainly in the positive regimes before 2000 while mostly in the negative regimes after that, indicating contagions mostly before 2000 and flights afterwards. Further, the dependence switches between positive and negative regimes around financial crises and the COVID-19 pandemic. These results greatly enrich the findings in the existing literature on the co-movements of stock–bond markets and are important for risk management and asset pricing.     

Cross-Jurisdictional Income Shifting by U.S. Multinationals: Evidence from International Bond Offerings

We examine whether tax incentives influence where U.S. multinationals locate their interest deductions worldwide. Our sample includes international bond offerings by U.S. multinationals during 1987–1997 denominated in the currencies of Australia, Canada, France, Germany, Italy, Japan, or the United Kingdom. Our results suggest that U.S. multinationals' debt location decisions take into account the effect of jurisdiction-specific tax-loss carryforwards and binding foreign tax credit limitations on the value of debt tax shields. Our results are also consistent with U.S. multinationals locating interest deductions in different tax jurisdictions as a mechanism to achieve tax-motivated income shifting.     

Corporate debt and financial balance sheet adjustment: a comparison of the United States, the United Kingdom, France and Germany

The level of UK corporate debt directly affects financial stability in the United Kingdom because a significant amount of the exposure of the UK financial system is to UK corporates. Our paper provides a comparison of the determinants of corporate debt in the United States, the United Kingdom, France and Germany. The comparison serves to benchmark our findings about the determinants of UK corporate debt. In addition, the UK financial sector is significantly exposed to the corporate sectors in the United States, Germany and France. The model assesses the contribution of investment, acquisitions, cash flows and market-to-book values to the determination of debt, and also the tendency of debt to revert to its optimum level. Debt was found to be positively related to the financing needs of the firm, and the optimum level of debt to be negatively related to the market-to-book ratio. This casts some light on the procyclicality of debt.     

An examination of real interest rates in the United States, Canada, France, and Germany during the recent floating exchange rate period

This study reexamines the international linkage of ex-ante real interest rates using the theory of cointegrated processes. The univariate unit root tests suggest the existence of a nonstationary real interest rate in the United States, Canada, and (the former) West Germany. An ex-ante real interest rate is obtained by subtracting estimates of inflation from the nominal interest rate. The expected inflation rates are obtained by modeling changes in monthly CPI values as autoregressive moving average (ARMA) processes. A multivariate test for unit roots indicates that there are two cointegrating vectors, or one common stochastic trend, for the system of three nonstationary real interest rates. In addition, the log-likelihood ratio test fails to reject the null hypothesis that, in the long run, real interest rates in the United States are equal to those in Canada and West Germany.     

An empirical investigation of international asset pricing

We investigate several asset pricing models in an internationalsetting. We use data on a large number of assets traded in theUnited States, Japan, the United Kingdom, and France. The modeltogether with the hypothesis of capital market integration implytestable restrictions on multivariate regressions relating assetreturns to various benchmark portfolios. We find that multifactormodels tend to outperform single-index models in both domesticand international forms especially in their ability to explainseasonality in asset returns. We also find that the behaviorof the models is affected by change in the regulatory environmentin international markets.     

Spectral analysis of stock market prices

The purpose of this article is to apply spectral analysis to six European Stock markets (Germany, France, Italy, The Netherlands, Belgium and the United Kingdom) and the New York Stock Exchange, over the period 1969–1976. For neither series do the estimates suggest deviations from randomness. However, a simple filter rule shows that substantial profits could have been made by a trader in the six European markets. This demonstrates that for testing market efficiency, spectral analysis is far from the best and the conclusion tends to support the hypothesis of ‘white-noise’ in imperfect markets. Cospectral analysis shows the lead and lag relations between the various stock markets under study.     

Is default risk the hidden factor in momentum returns? Some empirical results

This paper analyzes the role of default risk in the momentum effect focusing on data from four developed European stock markets (France, Germany, Spain and the United Kingdom). Using a market‐based measure of default risk, we show that it is not the hidden factor behind this effect. While the loser portfolio is characterized by high default risk, small size, high book‐to‐market and illiquidity, characterization of the winner portfolio is somewhat more complex. Given that the momentum strategy is the return differential between the winners and the losers, factors such as the stock market cycle or the evolution of momentum portfolios against their reference point make momentum profits difficult to forecast.     

How does economic policy uncertainty affect the bitcoin market?

This paper examines how economic policy uncertainty (EPU) impacts the Bitcoin (BTC) markets denominated in local currencies. We take BTC against British Pound (GBP) and the United States dollar (USD) as examples and construct the value-weighted BTC/GBP and BTC/USD composite indices. Our results show that the returns around the highest EPU days are significantly greater than those around the lowest EPU days. Further, the United States (US) EPU increases the volatility and trading volume of BTC after EPU spike days, whereas the United Kingdom (UK) EPU does not show such trends. Moreover, we observe a spillover effect for the US EPU to the UK BTC market. We further construct the dynamic conditional correlation (DCC)-GARCH model to test the dynamic correlation between EPU and BTC. Our results show that the effect of the US EPU on BTC/USD is greater than the effect of the UK EPU on BTC/GBP. Our empirical findings may provide insights for regulators to intervene in speculations in cryptocurrency markets effectively.     

MEASURING LIMITS OF ARBITRAGE IN FIXED‐INCOME MARKETS

An emerging literature relies on an index of limits of arbitrage in fixed‐income markets. We analyze the benefits of an index that is model‐free, robust, and intuitive. This new index strengthens the evidence that limits of arbitrage proxy for risks priced in the cross‐section of returns. Trading simulations show that the new index improves identification of limits of arbitrage because it bypasses a noisy estimation step. Relative value indices in the United States, United Kingdom, Japan, Germany, Italy, France, Switzerland, and Canada exhibit strong commonality and high correlations with local volatility and funding conditions. The indices are updated regularly and available publicly.