Price and Volatility Transmission across Borders

Over the past forty years, financial markets throughout the world have steadily become more open to foreign investors. With open markets, asset prices are determined globally. A vast literature on portfolio choice and asset pricing has evolved to study the importance of global factors as well as local factors as determinants of portfolio choice and of expected returns on risky assets. There is growing evidence that risk premia are increasingly determined globally. An important outcome of this force of globalization is increased comovement in asset prices across markets. This survey study examines the literature on the dynamics of comovements in asset prices and volatility across markets around the world. The literature began in the 1970s in conjunction with early theoretical developments on international asset pricing models, but it blossomed in the late 1980s and early 1990s with the availability of comprehensive international stock market databases and the development of econometric methodology to model these dynamics.     

Financial contagion and asset pricing

Asset market interconnectedness can give rise to significant contagion risks during periods of financial crises that extend beyond the risks associated with changes in volatilities and correlations. These channels include the transmission of shocks operating through changes in the higher order comoments of asset returns, including changes in coskewness arising from changes in the interaction between volatility and average returns across asset markets. These additional contagion channels have nontrivial implications for the pricing of options through changes in the payoff probability structure and more generally, in the management of financial risks. The effects of incorrectly pricing risk has proved to be significant during many financial crises, including the subprime crisis from mid 2007 to mid 2008, the Great Recession beginning 2008 and the European debt crisis from 2010. Using an exchange options model, the effects of changes in the comoments of asset returns across asset markets are investigated with special emphasis given to understanding the effects on hedging risk during financial crises. The results reveal that by not correctly pricing the risks arising from higher order moments during financial crises, there is significant mispricing of options, while hedged portfolios during noncrisis periods become exposed to price movements in times of crises.     

The world price of liquidity risk

This paper empirically tests the liquidity-adjusted capital asset pricing model of Acharya and Pedersen (2005) on a global level. Consistent with the model, I find evidence that liquidity risks are priced independently of market risk in international financial markets. That is, a security’s required rate of return depends on the covariance of its own liquidity with aggregate local market liquidity, as well as the covariance of its own liquidity with local and global market returns. I also show that the US market is an important driving force of global liquidity risk. Furthermore, I find that the pricing of liquidity risk varies across countries according to geographic, economic, and political environments. The findings show that the systematic dimension of liquidity provides implications for international portfolio diversification.     

Local risk factors in emerging markets: Are they separately priced?

We provide new evidence on the pricing of local risk factors in emerging stock markets. We investigate whether there is a significant local currency premium together with a domestic market risk premium in equity returns within a partial integration asset pricing model. Given previous evidence on currency risk, we conduct empirical tests in a conditional setting with time-varying prices of risk. Our main results support the hypothesis of a significant exchange risk premium related to the local currency risk. Exchange rate and domestic market risks are priced separately for our sample of seven emerging markets. The empirical evidence also suggests that although statistically significant, local currency risk is on average smaller than domestic market risk but it increases substantially during crises periods, when it can be almost as large as market risk. Disentangling these two factors is thus important in tests of international asset pricing for emerging markets.     

Credit markets and financial information

The last decade has seen rapid growth in trading of credit instruments on secondary markets. The ensuing availability of a rich set of credit market data has created a novel environment for testing a variety of financial economic theories. In this discussion, we provide a simple framework for linking asset pricing research using equity and credit market data and offer some suggestions for future archival empirical research aiming to establish relations between financial information and credit markets. Credit instruments are intrinsically linked to equity instruments. The strength of this link varies temporally and cross-sectionally in measurable ways that can, and should be, used to guide future empirical research linking information to credit markets.     

Short-selling bans and institutional investors' herding behaviour: Evidence from the global financial crisis

The literature on short-selling restrictions focusses mainly on a ban's impact on market efficiency, liquidity and overpricing. Surprisingly, little is known about the effects of short-sale constraints on herd behaviour. Since institutional investors have come to dominate mature stock markets and rely extensively on short sales, constraining these traders may influence the asset pricing process. We investigate six stock markets that faced bans during the recent global financial crisis. Our empirical evidence shows that short-selling restrictions exhibit either no influence on herding formation or induce adverse herding. This implies a higher dispersion of returns around the market compared to rational asset pricing, which can be interpreted as an increase in uncertainty among stock market investors.     

Financial Integration of Large- and Small-Cap Stocks in Emerging Markets

This study examines the financial integration of large- and small-cap stocks in twenty-three emerging markets to determine their degree of market integration with the world market. The international asset pricing model cannot be rejected for most large-cap stock portfolios, but it is rejected for small-cap stock portfolios. The findings also demonstrate that super-large-cap stocks have the fewest pricing errors and their global financial integration has increased in recent years. In sum, the empirical results indicate that global market integration is primarily associated with the super-large-cap stocks of large emerging markets.     

开放经济下随机折现因子对经济周期与经济波动的解释能力

本文通过研究随机折现因子(SDF)与经济周期以及经济波动的关系,旨在探索金融市场与宏观经济的内在联系。我们构建了一个开放经济定价模型(OEAP model),将汇率、通货膨胀率、国内消费以及市场收益率纳入统一的框架内,探讨SDF对经济周期及经济波动的解释能力。基于模型的估计结果表明在开放经济的模型假设下SDF具有显著的反周期特点并且SDF的波动性方差可以作为衡量经济波动一个很好的指标。另外,模型的模拟结果表明,相对于封闭经济假设下的Epstein-Zin模型,OEAP模型对消费具有更好的拟合效果。这说明OEAP模型对SDF具有更准确的估计。     

中国大宗商品期货市场定价机制研究

大宗商品期货市场是我国资本市场的重要组成部分,其定价有效性关系到投资者套期保值和价格发现等功能的实现。本文对国际前沿研究中常用的定价因子进行全面系统梳理,并对这些因子对我国商品期货合约收益率的解释和预测能力进行检验。在此基础上,本文构建了适用于我国大宗商品期货市场的包含市场、基差以及基差动量的三因子定价模型。进一步研究表明,基于大宗商品存储理论和现货存货数据构建的投资组合收益率可以被本文三因子模型有效解释,验证了经典的存储理论在我国的适用性。此外,本文对基差与基差动量两个重要因子的经济学意义进行了阐释。本文研究为进一步厘清大宗商品期货市场定价机制提供了一定参考。     

The integration of bank syndicated loan and junk bond markets

This paper hypothesizes that the special role of banks as corporate quasi-insiders has been changing due to developments in informational, legal and institutional infrastructures of syndicated loan markets. We investigate the integration of intermediated and disintermediated financial markets through highly leveraged transaction (HLT) syndicated loans during the 1990s. We demonstrate that, with the emergence of traded HLT syndicated loans as an alternative high-yield asset to high-yield bonds, market integration has dramatically increased. Taking the late 1980s and 1990s together, different factors explain the movement of credit spreads of the two markets. HLT loan market’s spreads are strongly affected by bank liquidity. Bank liquidity’s effect on HLT loan spreads disappears after 1993. From 1994–1999, junk bond market liquidity factors affect bank loan pricing. We interpret these changes as evidence of the erosion of bank specialness.     

Liquidity risk and stock returns around the world

The recent global financial crisis demonstrates that market liquidity is a prominent systematic risk globally. We find that local liquidity risk, in addition to the local market, value and size factors, demands a systematic premium across stocks in 11 developed markets. This local pricing premium is smaller in countries where the country-level corporate boards are more effective and where there are less insider trading activities. We also discover that global liquidity risk is a significant pricing factor across all developed country market portfolios after controlling for global market, value, and size factors. The contribution of this risk to the return on a country market portfolio is economically and statistically significant within and across regions.     

Aggregate implications of micro asset market segmentation

An extensive empirical literature finds that micro asset markets are segmented from one another. We develop a consumption-based asset pricing model to quantify the aggregate implications of a financial system comprised of many such segmented micro asset markets. We specify exogenously the level of segmentation that determines how much idiosyncratic risk traders bear in their micro market and calibrate the segmentation to match facts about systematic and idiosyncratic return volatility. In our benchmark model traders bear 30% of their idiosyncratic risk, the unconditional aggregate equity premium is 2.4% annual, and the welfare costs of segmentation are substantial, 1.8% of lifetime consumption.     

The Relationships between Real Estate Price and Expected Financial Asset Risk and Return: Theory and Empirical Evidence

In pricing real estate with indifference pricing approach, market incompleteness is shown to significantly alter the conventional pricing relationships between real estate and financial asset. Specifically, we focus on the pricing implication of market comovement because comovement tends to be stronger in financial crisis when investors are especially sensitive to price declines. We find that real estate price increases with expected financial asset return but only in weak market comovement (i.e., a normal market environment) when investors enjoy diversification benefit. When market comovement is strong, real estate price strictly declines with expected financial asset return. More importantly, contrary to the conventional positive relationship from real option studies, real estate price generally declines with expected financial asset risk. With realistic market parameters, we show that there is a nonlinear relationship between real estate price and financial risk. When the market comovement is strong, real estate price only increases with financial asset risk when the risk is low but eventually declines with the risk when it becomes high. Our cross-country empirical results also show that the relationship between financial market risk and real estate price is non-monotonic, conditional on the degree of market comovement.     

Understanding Housing Market Volatility

The Campbell–Shiller present value formula implies a factor structure for the price–rent ratio of housing market. Using a dynamic factor model, we decompose the price–rent ratios of 23 major housing markets into a national factor and independent local factors, and we link these factors to the economic fundamentals of the housing markets. We find that a large fraction of housing market volatility is local and that the national factor has become more important than local factors in driving housing market volatility since 1999, consistent with the findings in Del Negro and Otrok (2007). The local volatilities mostly are due to time variations of idiosyncratic housing market risk premia, not local growth. At the aggregate level, the growth and interest rate factors jointly account for less than half of the total variation in the price–rent ratio. The rest is due to the aggregate housing market risk premium and a pricing error. We find evidence that the pricing error is related to money illusion, especially at the onset of the recent housing market bubble. The rapid rise in housing prices prior to the 2008 financial crisis was accompanied by both a large increase in the pricing error and a large decrease in the housing market risk premium.     

What are the risks when investing in thin emerging equity markets: Evidence from the Arab world

This study attempts to identify the risks involved when investing in five emerging Arab capital markets. We first find that a constant beta is not a good proxy for risk in these thinly traded emerging markets. However, firms’ fundamentals and country risk rating factors prove significant in explaining the cross-sections of stock returns. The paper provides three important contributions to the literature on asset pricing in emerging capital markets: (i) we show how country risk ratings can be aggregated into a country risk factor; (ii) we add to a growing literature suggesting that, in markets other than the US, it is possible to find large and growth stocks to be riskier than small and value stocks; (iii) we determine that despite economic, financial and political reforms, issues related to financial transparency and political instability are still powerful obstacles to investments in these nascent emerging markets.     

Explaining share price disparity with parameter uncertainty: Evidence from Chinese A- and H-shares

The price disparity between the A- and H-share markets for dual-listed firms in China is one of the most intriguing puzzles in the Mainland and Hong Kong financial markets. In this paper, we revisit this price disparity puzzle using the channel of parameter uncertainty. In the presence of information asymmetry and market segmentation, investors have different views on a firm’s asset volatility, and hence different valuations of the same reference firm. We estimate a structural model for equity pricing using a Bayesian approach, in which the uncertainty of investor model parameters is represented by the posterior standard deviation of the firm’s asset volatility. Our regression analysis shows that in addition to other market-based and macro factors, parameter uncertainty explains variations in price disparity.     

World capital markets and Finnish stock returns

The paper explores issues related to time-varying global equity market integration from a Finnish perspective. Finland is an interesting market since profound economic changes and financial deregulation have taken place since the mid-1980s. Using Finnish firm size ranked portfolios and a conditional four-factor asset pricing model, several restrictions on asset behaviour are examined. It is found that a proxy for changing market integration — lagged foreign equity ownership — has a significant impact on the relative importance of local and global risk factors. Significant differences are found between the pricing of shares that were freely-available to all (unrestricted shares) and domestic investors only (restricted shares). Results also suggest that major capital market reforms profoundly affect the degree of market integration, but local risk factors do not become redundant.     

European capital market integration: An empirical study based on a European asset pricing model

This paper investigates the integration between the capital markets of 15 European countries, all of which are members of the European Union. Integration is tested under the joint hypothesis of a European multifactor asset pricing model. A European portfolio is constructed from which common factors are extracted using maximum likelihood factor analysis. Empirical tests are undertaken to determine whether these European factors are not only priced, but also equally priced across the European capital markets. The results show that a number of common factors are extracted from the European portfolio and a degree of capital market integration is shown to exist across the European capital markets.     

Using implied volatility on options to measure the relation between asset returns and variability

Prior research has documented that volatility in financial asset markets is most directly related to trading rather than calendar days, and that there is an inverse asymmetric relation between volatility and returns in both stocks and long-term bonds. We examine these relations in 37 futures options markets representing a wide variety of asset types. Using futures prices and implied volatilities from this extensive array of markets, we confirm that in all of them, save one, market volatility is more directly related to trading days. However, the nature of the association between implied volatility and underlying asset returns varies greatly across asset categories and across exchanges. Thus, we show that findings from equity markets apparently are not generalizable to other asset classes.     

The volatility of consumption-based stochastic discount factors and economic cycles

This paper aims to assess the macroeconomic and financial impact of economic uncertainty using information contained in the second moments of financial risk factors employed in the asset pricing literature. Specifically, we propose the volatility of consumption-based stochastic discount factors (SDFs) as a predictor of future economic and stock market cycles. We employ both contemporaneous and ultimate consumption risk specifications with durable and non-durable consumption. Alternative empirical tests show that this volatility has significant forecasting ability from 1985 to 2006. The degree of predictability tends to dominate that shown by standard predictor variables. We argue that the significant predictability of the volatility of consumption-based SDFs reported in this paper relies mainly on the joint effect of their components.