Day and night returns of Chinese ADRs

Are the returns of Chinese American Depositary Receipts (ADR) more affected by the US market or their underlying home market? We separate Chinese ADR daily returns into day and night returns to investigate the different market effects on ADR pricing. We compare “homeless” ADRs to home-based or cross-listed ADRs to see if they are affected differently by market factors. We find the night returns of Chinese ADRs are significantly affected by their home market (either the Hong Kong market or mainland China market) daily returns and the US market night returns. The US day returns appear to be the most significant pricing factor for the day returns of Chinese ADRs. The homeless ADRs are more affected by the US market and less affected by their home market compared to the cross-listed ADRs.     

Pricing of American Depositary Receipts under Market Segmentation

This article examines the pricing of American Depositary Receipts (ADRs) in a three-factor pricing model. A seemingly unrelated regression model is utilized to test the nonlinear parameter restriction implied by the model. It is found that, although ADRs are traded in the U.S. securities market, their returns are significantly affected by their respective home market factors rather than by U.S. market movements. While U.S. investors are exposed to incremental risk from foreign equity market, they do not command a risk premium. The findings suggest that (1) markets are segmented and ADR listing does not integrate world capital market and (2) ADRs behave more like a foreign security and ADR is an effective tool of global risk diversification for U.S. investors.     

Cryptocurrency returns under empirical asset pricing

This study examines the predictability of cryptocurrency returns based on investors' risk premia. Prior studies that have examined the predictability of cryptocurrencies using various economic risk factors have reported mixed results. Our out-of-sample evidence identifies the existence of a significant return predictability of cryptocurrencies based on the cryptocurrency market risk premium. Consistent with capital asset pricing theory (CAPM), our results show that investors often require higher positive returns before taking on any additional risks, particularly in terms of riskier assets like cryptocurrencies. Tests involving the CAPM model demonstrates that the three largest cryptocurrencies have significant exposures to the proposed market factor with insignificant intercepts, demonstrating that the market factor explains average cryptocurrency returns very well.     

The role of exchange rates in intertemporal risk–return relations

This paper investigates the significance of an intertemporal relation between expected returns on countries’ stock market portfolios and their risk exposures to the world market portfolio. We find that the intertemporal risk–return relation differs significantly under different currency denominations. The slope coefficient is the largest at around seven when the returns are denominated in Japanese yen, moderate at about five when the returns are denominated in the Canadian or US dollars, and the smallest at around three when the returns are denominated in pound or euro and its predecessors. The ranking of the risk–return coefficients across different currency denominations remains the same when we replace country equity indices with global industry portfolios in estimating the intertemporal relations, when we change the return frequency from monthly to daily, and when we consider different specifications for the conditional covariance process.     

Return spread and liquidity: Evidence from Hong Kong ADRs

Fifteen Chinese H-shares listed on the Stock Exchange of Hong Kong are cross listed as ADRs on the NYSE. We empirically determine the role of security specific liquidity associated with those ADRs and their underlying H-shares on return spreads, differences between the returns on ADRs and their corresponding H-shares after controlling for ADRs and H-shares excess market returns and their respective price inverses denoting conditional betas. We use three proxies for liquidity, trading volume, turnover, and illiquidity (Amihud, 2002) and find that only trading volume and turnover are consistent determinants of return spread for the majority of Chinese ADRs with primary listing in Hong Kong Stock Exchange (SEHK). We use a switching regression model and find that the model parameter estimates are not stationary and change, often drastically between pre and post 2000 and 2003. Further tests using Bai Perron indicate return spreads data as non-stationary with multiple regime changes during the sample period. Further the causes of non-stationarity seem to be largely security specific and not driven by broad market swings in either market.     

Pairs trading in the UK equity market: risk and return

In this paper, we provide the first comprehensive UK evidence on the profitability of the pairs trading strategy. Evidence suggests that the strategy performs well in crisis periods, so we control for both risk and liquidity to assess performance. To evaluate the effect of market frictions on the strategy, we use several estimates of transaction costs. We also present evidence on the performance of the strategy in different economic and market states. Our results show that pairs trading portfolios typically have little exposure to known equity risk factors such as market, size, value, momentum and reversal. However, a model controlling for risk and liquidity explains a far larger proportion of returns. Incorporating different assumptions about bid-ask spreads leads to reductions in performance estimates. When we allow for time-varying risk exposures, conditioned on the contemporaneous equity market return, risk-adjusted returns are generally not significantly different from zero.     

Transmission of shocks from cross-listed markets to the return and volatility of domestic stocks

This paper examines the transmission of information from German and the U.S. markets to domestic markets using daily price and volume data of 264 stocks from 26 countries that are traded in their home country and cross-listed outside their home market as depository receipts (DRs); in the German market as Global Depository Receipts (GDRs) and in the U.S. as American Depository Receipts (ADRs). We identify days with significant news arrivals in a market through minimum thresholds for both significant absolute price change and trading volume. DR returns and volatilities are affected by the shocks in the markets where they are cross-listed controlling for domestic shocks. Contemporaneous and/or lagged shocks to the cross-listed markets are transmitted to domestic stock returns and volatilities. South American DRs are affected mostly by U.S. shocks, while Eastern European DRs show greater reaction to the German shocks.     

The empirical relationship between risk and return: evidence from the UK stock market

Previous studies reach no consensus on the relationship between risk and return using data from one market. We argue that the world market factor should not be ignored in assessing the risk-return relationship in a partially integrated market. Applying a bivariate generalized autoregressive conditional heteroscedasticity in mean (GARCH-M) model to the weekly stock index returns from the UK and the world market, we document a significant positive relationship between stock returns and the variance of returns in the UK stock market after controlling for the covariance of the UK and the world market return. In contrast, conventional univariate GARCH-M models typically fail to detect this relationship. Nonnested hypothesis tests supplemented with other commonly used model selection criteria unambiguously demonstrate that our bivariate GARCH-M model is more likely to be the true model for UK stock market returns than univariate GARCH-M models. Our results have implications for empirical assessments of the risk-return relationship, expected return estimation, and international diversification.     

Determinants of returns and volatility of Chinese ADRs at NYSE

This paper examines the determinants of returns and of volatility of the Chinese ADRs as listed at NYSE. Using an autoregressive conditional heteroskedasticity (ARCH) model and data from 16 April 1998 through 30 September 2004, we find that Hong Kong stock market (underlying market), US stock market (host market), and local (Shanghai A and B) markets all are important determinants of returns of the Chinese ADRs. However, the underlying Hong Kong market has the most significant impact on mean returns of the ADRs. In terms of the determinants of the conditional volatility of the ADRs returns, only shocks to the underlying markets are significant. These results are consistent with [Kim, M., Szakmary, A.C., Mathur, I., 2000. Price transmission dynamics between ADRs and their underlying foreign securities. Journal of Banking and Finance 24, 1359–1382] who find that the most influential factor in pricing the ADRs in Japan, UK, Sweden, The Netherlands and Australia is their underlying shares. Implications of the results for investors are discussed.     

Valuation impact of currency crises: Evidence from the ADR market

This study analyzes American depository receipts (ADR) performance surrounding the outbreak of major currency crises during the past decade. By employing event-study methodologies and multifactor pricing models, we find that the outbreak of a currency crisis is accompanied by a negatively significant abnormal return for the corresponding ADRs, even after controlling for variations in exchange rates. We also find significant upward shifts in the exchange rate exposure of ADRs when the home currency is switched from a “pegging” to a “floating” exchange rate regime. In addition, ADR-originating firms with larger sizes, greater proportions of U.S. market activities, and greater market liquidity have relatively less negative abnormal returns (ARs) and less significant upward shifts in currency exposure, implying that such firms are relatively better hedged against currency crises.     

Return dispersion and expected returns

This paper proposes a two-factor asset-pricing model that incorporates market return and return dispersion. Consistent with this model, we find that stocks with higher sensitivities to return dispersion have higher average returns, and that return dispersion carries a significant positive price of risk. In particular, the return dispersion factor dominates the book-to-market factor in explaining cross-sectional expected returns. The return dispersion model outperforms the CAPM, MVM, IVM, and FF-3M when using a set of 5×5 test portfolios constructed from NYSE and AMEX stock returns from August 1963 to December 2005. Return dispersion continues to play an important role in explaining the cross-sectional variation of expected returns, even when market volatility, idiosyncratic volatility, size, book-to-market factors, and a momentum factor are included. This study sheds some light on the ability of return dispersion to explain expected returns beyond the standard asset-pricing factors. Our finding suggests that return dispersion captures two dimensions of systematic risk: the business cycle and fundamental economic restructuring.     

Residual momentum

Conventional momentum strategies exhibit substantial time-varying exposures to the Fama and French factors. We show that these exposures can be reduced by ranking stocks on residual stock returns instead of total returns. As a consequence, residual momentum earns risk-adjusted profits that are about twice as large as those associated with total return momentum; is more consistent over time; and less concentrated in the extremes of the cross-section of stocks. Our results are inconsistent with the notion that the momentum phenomenon can be attributed to a priced risk factor or market microstructure effects.     

The impact of the introduction of the Euro on foreign exchange rate risk exposures

This paper tests whether significant changes in stock return volatility, market risk, and foreign exchange rate risk exposures took place around the launch of the Euro in 1999. The experiment analyzes weekly returns for 3220 nonfinancial firms from 18 European countries, the United States, and Japan. We find that though the Euro's launch was associated with an increase in total stock return volatility, significant reductions in market risk exposures arose for nonfinancial firms both in and outside of Europe. We show that the reductions in market risk were concentrated in firms domiciled in the Euro area and in non-Euro firms with a high fraction of foreign sales or assets in Europe. The Euro's introduction led to a net absolute decrease in the foreign exchange rate exposure of nonfinancial firms, but these changes are statistically and economically small. We interpret our findings in the context of existing theories of exchange rate risk management.     

Does bancassurance add value for banks? - Evidence from mergers and acquisitions between European banks and insurance companies

This paper investigates the risk and wealth effects of 72 mergers and acquisitions between banks in Europe and insurance companies during the period 1989-2004. The empirical results indicate that acquirers’ total risks remain constant relative to the world, home market indices and home banking indices. There are no changes for the systematic risks (beta) with respect to the world market index or the home banking index. After removing world and home market indices effect, systematic risk against home banking index reduce significantly for domestic deals. In addition, positive wealth effects are documented. Two factors have contributed to the bidders’ cumulative abnormal returns (CARs): relative deal size and being a serial acquirer. Finally, change of beta shows negative relations with CARs.     

Divergence of US and Local Returns in the After‐market for Equity Issuing ADRs

We study one‐year post‐listing prices and returns to equity issuing ADRs that listed in the US between January 1991 and October 2000. ADRs from countries that impose restrictions on capital flows are priced at a premium to their home market ordinaries. While the mean premium for the full sample is statistically indistinguishable from zero, after an adjustment for asynchronous trading, the magnitude of the premium to ADRs from restricted markets is 11.33% at the 300‐day post listing interval, which is statistically significant. In the short run (30 days) following listing, the magnitude of the premium is larger for ADRs with larger excess demand from US investors. At the longer 300‐day horizon, Nasdaq listed ADRs earn a larger premium than their NYSE/AMEX listed counterparts. Time‐series regressions and two‐stage cross‐sectional regressions establish that the premium to foreign equity issuers is greater if the US listing attracts liquidity and if US returns have a lower correlation with the local country index.     

Changing risk exposures of cross-listed firms and market integration

A standard finding is that risk exposures of companies that cross-list tend to increase against the market in which they list, a change typically associated with a decline in the cost of capital. However, this finding is predicated on the assumption that the home and foreign market co-movements are stable over time. By contrast, another common finding is that risk exposures across market indices have increased over time due to international market integration. In this paper, I ask whether the firm-level findings for changing risk exposures are due to the more general changes in market co-movements. Indeed, for a panel of cross-listed firms in the U.S., I find that 72% do not find evidence of breaks in their relationships beyond those derived from their home markets. This finding suggests that the apparent increase in risk exposures for cross-listed firms arises from general market integration trends. Moreover, the remaining 28% of firms tend to have significant breaks after cross-listing, be younger, and have home markets with lower government regulation.     

Why Do Markets Move Together? An Investigation of U.S.-Japan Stock Return Comovements

This article explores the fundamental factors that affect cross-country stock return correlations. Using transactions data from 1988 to 1992, we construct overnight and intraday returns for a portfolio of Japanese stocks using their NYSE-traded American Depository Receipts (ADRs) and a matched-sample portfolio of U. S. stocks. We find that U. S. macroeconomic announcements, shocks to the Yen/Dollar foreign exchange rate and Treasury bill returns, and industry effects have no measurable influence on U.S. and Japanese return correlations. However, large shocks to broad-based market indices (Nikkei Stock Average and Standard and Poor's 500 Stock Index) positively impact both the magnitude and persistence of the return correlations.     

Oil and stock market activity when prices go up and down: the case of the oil and gas industry

We examine the asymmetric effects of daily oil price changes on equity returns, market betas, oil betas, return variances, and trading volumes for the US oil and gas industry. The responses of stock returns associated with negative changes in oil prices are higher than that associated with positive changes in oil prices. Stock risk measured by market beta is influenced more due to oil price decreases than due to oil price increases. On the other hand, oil risk exposures (oil betas) and return variances are more influenced by oil price increases than oil price decreases. The results of our study indicate that oil and gas firm returns, market betas, oil betas, return variances respond asymmetrically to oil price changes. We also find that relative changes in oil prices along with firm-specific factors such as firm size, ROA, leverage, market-to-book ratio (MBR) are important in determining the effects of oil price changes on oil and gas firms’ returns, risks, and trading volumes.     

The risk in hedge fund strategies: Theory and evidence from long/short equity hedge funds

Theory suggests that long/short equity hedge funds' returns come from directional as well as spread bets on the stock market. Empirical analysis finds persistent net exposures to the spread between small vs large cap stocks in addition to the overall market. Together, these factors account for more than 80% of return variation. Additional factors are price momentum and market activity. Combining two major branches of hedge fund research, our model is the first that explicitly incorporates the effect of funding (stock loan) on alpha. Using a comprehensive dataset compiled from three major database sources, we find that among the three thousand plus hedge funds with similar style classification, less than 20% of long/short equity hedge funds delivered significant, persistent, stable positive non-factor related returns. Consistent with the predictions of the Berk and Green (2004) model we find alpha producing funds decays to “beta-only” over time. However, we do not find evidence of a negative effect of fund size on managers' ability to deliver alpha. Finally, we show that non-factor related returns, or alpha, are positively correlated to market activity and negatively correlated to aggregate short interest. In contrast, equity mutual funds and long-bias equity hedge funds have no significant, persistent, non-factor related return. Expressed differently, L/S equity hedge funds, as the name suggests, do benefit from shorting. Besides differences in risk taking behavior, this is a key feature distinguishing L/S funds from long-bias funds.     

An Investigation on Information Transmission Between Stocks of Far Eastern Countries and Their American Depositary Receipts

Domestic stocks and their American depositary receipts (ADRs) are essentially twin securities listed in the home country and United States, respectively. Accounting for exchange rates and market friction, their prices should move in tandem if international markets are efficient. In reality, however, their returns are close but sometimes differ dramatically. This study hypothesizes that changes in trading volume and macro events can lead investors between two equity markets to generate heterogeneous expectations or interpretations, causing returns on one security to deviate from those on the other. The results show that changes in past domestic volume do affect current ADR returns, implying that volume contains additional information not in prices. It is also found that important macro events, especially bad news, trigger significant differences in returns between domestic shares and their ADRs. These results support our argument that heterogeneous expectations prolong price information transmission between two equity markets.