Are Gold and Government Bond Safe‐Haven Assets? An Extremal Quantile Regression Analysis

This study reexamines gold and government bonds as potential safe‐haven assets (SHAs) during market turmoil from daily data in 16 international markets over the past 20 years. We apply the extremal quantile regression model by Chernozhukov and Chernozhukov and Fernandez‐Val for empirical investigation. The outcomes indicate that a government bond is more likely to be qualified an active SHA, which can increase in value during market turmoil. Gold can be generally evaluated as a passive SHA, which is uncorrelated with market slumps. However, at the extremal 0.001 quantile level, neither asset can be qualified as a SHA. Since both assets exhibit a similar number of cases of being qualified as SHAs, we cannot significantly differentiate the “flight‐to‐liquidity” and “flight‐to‐quality” hypotheses. In terms of market selection, United States and Singapore are the top two choices while France and Hungary are the least commended markets to invest their local gold market as SHA.     

Cross‐commodity analysis and applications to risk management

The understanding of joint asset return distributions is an important ingredient for managing risks of portfolios. Although this is a well‐discussed issue in fixed income and equity markets, it is a challenge for energy commodities. In this study we are concerned with describing the joint return distribution of energy‐related commodities futures, namely power, oil, gas, coal, and carbon. The objective of the study is threefold. First, we conduct a careful analysis of empirical returns and show how the class of multivariate generalized hyperbolic distributions performs in this context. Second, we present how risk measures can be computed for commodity portfolios based on generalized hyperbolic assumptions. And finally, we discuss the implications of our findings for risk management analyzing the exposure of power plants, which represent typical energy portfolios. Our main findings are that risk estimates based on a normal distribution in the context of energy commodities can be statistically improved using generalized hyperbolic distributions. Those distributions are flexible enough to incorporate many characteristics of commodity returns and yield more accurate risk estimates. Our analysis of the market suggests that carbon allowances can be a helpful tool for controlling the risk exposure of a typical energy portfolio representing a power plant. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 29:197–217, 2009     

Pricing Multiasset Cross‐Currency Options

This study develops a general pricing method for multiasset cross‐currency options, whose underlying asset consists of multiple different assets, and the evaluation currency is different from the ones used in the most liquid market of each asset; the examples include cross‐currency options, cross‐currency basket options, and cross‐currency average options. Moreover, in practice, fast calibration is necessary in the option markets relevant for the underlying assets and the currency, which is also achieved in this study. © 2012 Wiley Periodicals, Inc. Jrl Fut Mark 34:1–19, 2014     

Cross‐Border M&As by Chinese Companies in Advanced Countries: Antecedents and Implications

Theoretically grounded in the ownership, location, and internalization (OLI) paradigm and institutional theory, this article investigates major macro‐level factors that determine cross‐border mergers and acquisitions (CBMAs) by Chinese firms in developed markets. Using panel data of Chinese CBMA deals in developed markets from 1996 to 2012, we found that market size, natural resources, and strategic assets of host advanced economies positively affected the number of Chinese CBMAs in the developed markets. With regard to institutional variables, the overall economic freedom of host countries positively affected Chinese CBMAs, whereas the host government effectiveness negatively influenced the number of Chinese CBMAs. Furthermore, the above hypothesized effects were significantly strengthened by the home country's government involvement mainly through ownership. Finally, we found that significant factors to explain Chinese overall outward foreign direct investment (OFDI) are not necessarily applicable to explain Chinese CBMAs. © 2015 Wiley Periodicals, Inc.     

The Co‐Movement of Credit Default Swap Spreads,Equity Returns and Volatility: Evidence from Asia‐Pacific Markets

We provide a comprehensive analysis of the co‐movement of credit default swap (CDS), equity, and volatility markets in four Asia‐Pacific countries at firm and index level during the period 2007–2010. First, we examine lead–lag relationships between CDS spread changes, equity returns, and changes in volatility using a vector autoregressive model. At the firm level equity returns lead changes in CDS spreads and realized volatility. However, at the index level the intertemporal linkages between the three markets are less clear‐cut. Second, we apply the measures proposed by Diebold and Yilmaz (2014) to an analysis of volatility spillovers among the CDS, equities, and volatility asset classes. The results suggest that realized volatility (at firm level) and implied volatility (at index level) are the main transmitters of cross‐market volatility spillovers. Third, we analyze the impact of various structural factors and confirm the importance of realized volatility of equity returns as a determinant of CDS spreads.     

Real and Financial Sector Interaction Under Liberalization in an Open Developing Economy

A short‐run model incorporates instantaneous portfolio equilibrium with macroeconomic flows to clarify the structure of real–financial sector interactions. If equity and foreign exchange markets are introduced in structuralist theories of asset markets in developing countries, the key result that a fall in money supply raises the rate of inflation now holds only under special conditions on partial derivatives. But there is a tendency for interest rates to rise and for fluctuations in asset prices. Fuller integration of asset markets moderates these fluctuations. Outcomes are stable in spite of the generalized complementarity distinguishing equity markets from loan markets. Expectations play a major role. Implications for policy are to link domestic interest rates to foreign, remove artificial barriers to market integration, and stimulate demand as well as supply.     

The components of bid‐ask spread and their determinants: TAIFEX versus SGX‐DT

This paper compares the intraday components of bid‐ask spread in Taiwan stock index futures traded on Taiwan Futures Exchange (TAIFEX) and Singapore Exchange Derivatives Trading Limited (SGX‐DT). Variables that determine the components of spread are also examined. SGX‐DT uses a floor trading system while TAIFEX uses an electronic call system. This study finds that both information asymmetry and order processing cost components exhibit U‐shaped patterns in the two markets, in contrast to previous findings for U.S. equity markets. Moreover, the information asymmetry components are lower in the TAIFEX relative to the SGX‐DT futures, suggesting that the continuous open outcry markets are more vulnerable to information asymmetry than the electronic call markets. The regression results show that volatility and information are the major determinants of the components while number of trades is not the major determinant of the order processing and information asymmetry components for both markets. © 2004 Wiley Periodicals, Inc. Jrl Fut Mark 24:835–860, 2004     

Co-movement among oil,stock, bond,and housing markets: An analysis of U.S., Asian,and European economies

This study explores the co-movement among oil and the stock, bond, and housing markets of the U.S. and major developed countries across Europe and Asia. The results indicate that oil is long-run integrated with each asset class, and that the extent of convergence has increased after the onset of the 2007–2009 global financial crisis (GFC). Moreover, oil contributes most heavily toward the common trends, implying that oil is the “leader” sector that drives each asset class toward long-run equilibrium relationships. Short-run analyses indicate that oil shocks induce a negative response in stock and housing returns and a positive reaction in bond returns, showing a tendency to become more intense and persistent after the GFC. When oil shocks are disentangled, the results indicate that supply and demand have heterogeneous effects on the three global asset classes. Over the long-run, demand shocks make the most significant contribution to the common trends and “lead” the other asset classes, whereas supply shocks have either a negligible or a weaker impact. Over the short-run, demand shocks positively impact the stock and housing markets and negatively impact bonds, while supply shocks induce negative and weaker impacts on all three asset classes.     

A Better Model? An Empirical Investigation of the Fama–French Five‐factor Model in Australia

Recently, Fama and French ( 2015a ) propose a five‐factor model by adding profitability and investment factors to their three‐factor model. This model outperforms the three‐factor model previously proposed by Fama and French ( 1993 ). Using an extensive sample over the 1982–2013 period, we investigate the performance of the five‐factor model in pricing Australian equities. We find that the five‐factor model is able to explain more asset pricing anomalies than a range of competing asset pricing models, which supports the superiority of the five‐factor model. We also find that despite the results documented by Fama and French ( 2015a ), the book‐to‐market factor retains its explanatory power in the presence of the investment and profitability factors. Our results are robust to alternative factor definitions and the formation of test assets. The study provides a strong out‐of‐sample test of the model, adding to the comparative evidence across international equity markets.     

Cross‐border expansion and competitive interactions of indigenous mobile network operators in sub‐Saharan Africa

Emerging‐market multinational enterprises (EMNEs) have become major players in the global economy, with an increasing share of global foreign direct investment (FDI). Indigenous mobile network operators (MNOs) in sub‐Saharan Africa (SSA) are not left out in this pursuit, as they seek growth and competitiveness beyond their domestic markets. We investigate the FDI location choices and competitive interactions of the five indigenous SSA MNOs that had internationalized as of 2014 and find that, contrary to the literature, these EMNEs, operating in a key and rapidly developing industry, did not tend to commence their cross‐border expansion in geographically close markets. In addition, the MNOs are more likely to invest in countries with stronger control over corruption and do not appear to engage in heavy head‐to‐head competition with their rivals. These findings contribute to the internationalization literature in the context of the investment and competitive behaviors of the currently underexplored indigenous SSA multinationals.     

A GENERAL EQUILIBRIUM MODEL OF A MULTIFIRM MORAL‐HAZARD ECONOMY WITH FINANCIAL MARKETS

We present a general equilibrium model of a moral‐hazard economy with many firms and financial markets, where stocks and bonds are traded. Contrary to the principal‐agent literature, we argue that optimal contracting in an infinite economy is not about a tradeoff between risk sharing and incentives, but it is all about incentives. Even when the economy is finite, optimal contracts do not depend on principals’ risk aversion, but on market prices of risks. We also show that optimal contracting does not require relative performance evaluation, that the second best risk‐free interest rate is lower than that of the first best, and that the second‐best equity premium can be higher or lower than that of the first best. Moral hazard can contribute to the resolution of the risk‐free rate puzzle. Its potential to explain the equity premium puzzle is examined.     

Time‐varying market price of risk in the crude oil futures market

In this study, a three‐factor model of crude oil prices is estimated, which incorporates a time‐varying market price of risk. The model is able to accurately capture the term structure of futures prices with evidence suggesting that risk premiums in the crude oil market are time‐varying. Using the cross‐section of futures prices, we estimate a time‐series of the market price of risk in the crude oil market implied by the model. We find that the risk premiums in the crude oil market are driven by the same risk factors as equity and bond markets. © 2010 Wiley Periodicals, Inc. Jrl Fut Mark 31:779–807, 2011     

International capital flows,returns and world financial integration

International capital flows have increased dramatically since the 1980s, with much of the increase being due to trade in equity and bond markets. Such developments are often attributed to the increased integration of world financial markets. We present a model that allows us to examine how greater integration in world financial markets affects the behavior of international capital flows and financial returns. Our model predicts that international capital flows are large (in absolute value) and very volatile during the early stages of financial integration when international asset trading is concentrated in bonds. As integration progresses and households gain access to world equity markets, the size and volatility of international bond flows decline. This is the natural outcome of greater risk sharing facilitated by increased integration. This pattern is consistent with declining volatility observed during 1975–2007 period in the G-7 countries. We also find that the equilibrium flows in bonds and stocks predicted by the model are larger than their empirical counterparts, and are largely driven by variations in equity risk premia. The model also predicts that volatility of equity and bond returns decline with integration, again consistent with the data for G-7 economies.     

The nature and determinants of comovement between developed,emerging and frontier equity markets: Europe versus Asia‐Pacific

International investors are increasingly attracted towards emerging and frontier markets because of their potential to enhance diversification benefits of a global portfolio. This calls for a rigorous analysis of the nature and determinants of stock market comovement between developed, emerging, and frontier markets in Europe and Asia‐Pacific regions. The findings suggest that unlike their Asia‐Pacific counterparts, European developed, emerging, and frontier stock markets display a higher degree of comovement. Although Asia‐Pacific frontier markets provide good diversification opportunities, investors must be cautioned against their weak financial system. The volatility of returns, gross domestic product growth rate, and the 2008 global financial crisis (GFC) are the key determinants of stock market comovement in Europe. The mechanisms by which comovement in the Asia‐Pacific region is strengthened differ across markets. Comparative analysis of comovement and its determinants across different classes of equity markets and geographies is expected to provide valuable perspectives to global investors, portfolio managers, and policymakers.     

New evidence on hedges and safe havens for Gulf stock markets using the wavelet-based quantile

This paper examines the dynamic tail dependence structure for the Gulf equity indices, using the Dow Jones Islamic world emerging equity index and four macroeconomics factors (the three-month U.S. Treasury bill rate, the VIX index, gold prices and oil prices) under different market conditions and scale or investment horizons. We find little or insignificant dependence at the short investment horizon but strong asymmetric dependence at the middle and long investment horizons. Gold is a strong hedge and a safe haven at the short, middle and long run horizons for all Gulf markets.     

NO‐ARBITRAGE IN A NUMÉRAIRE‐INDEPENDENT MODELING FRAMEWORK

The classic approach to modeling financial markets consists of four steps. First, one fixes a currency unit. Second, one describes in that unit the evolution of financial assets by a stochastic process. Third, one chooses in that unit a numéraire, usually the price process of a positive asset. Fourth, one divides the original price process by the numéraire and considers the class of admissible strategies for trading. This approach has one fundamental drawback: Almost all concepts, definitions, and results, including no‐arbitrage conditions like NA, NFLVR, and NUPBR depend by their very definition, at least formally, on initial choices of a currency unit and a numéraire. In this paper, we develop a new framework for modeling financial markets, which is not based on ex‐ante choices of a currency unit and a numéraire. In particular, we introduce a “numéraire‐independent” notion of no‐arbitrage and derive its dual characterization. This yields a numéraire‐independent version of the fundamental theorem of asset pricing (FTAP). We also explain how the classic approach and other recent approaches to modeling financial markets and studying no‐arbitrage can be embedded in our framework.     

Intraday Volatility in Interest‐Rate and Foreign‐Exchange Markets: ARCH,Announcement, and Seasonality Effects

We explore the determinants of intraday volatility in interest‐rate and foreign‐exchange markets, focusing on the importance and interaction of three types of information in predicting intraday volatility: (a) knowledge of recent past volatilities (i.e., ARCH or Autoregressive Conditional Heteroskedasticity effects); (b) prior knowledge of when major scheduled macroeconomic announcements, such as the employment report or Producer Price Index, will be released; and (c) knowledge of seasonality patterns. We find that all three information sets have significant incremental predictive power, but macroeconomic announcements are the most important determinants of periods of very high intraday volatility (particularly in the interest‐rate markets). We show that because the three information sets are not independent, it is necessary to simultaneously consider all three to accurately measure intraday volatility patterns. For instance, we find that most of the previously documented time‐of‐day and day‐of‐the‐week volatility patterns in these markets are due to the tendency for macroeconomic announcements to occur on particular days and at particular times. Indeed, the familiar U‐shape completely disappears in the foreign‐exchange market. We also find that estimates of ARCH effects are considerably altered when we account for announcement effects and return periodicity; specifically, estimates of volatility persistence are sharply reduced. Separately, our results show that high volatility persists longer after shocks due to unscheduled announcements than after equivalent shocks due to scheduled announcements, indicating that market participants digest information much more quickly if they are prepared to receive it. However, contrary to results from equity markets, we find no evidence of a meaningful difference in volatility persistence after positive or negative price shocks. © 2001 John Wiley & Sons, Inc. Jrl Fut Mark 21: 517–552, 2001     

Estimating the Cost‐of‐Equity Capital Using Empirical Asset Pricing Models

Empirical asset pricing models seek to capture characteristic‐based patterns in the cross‐section of average stock returns. I propose a new approach for constructing these models, and investigate its performance with respect to estimating the cost‐of‐equity capital. Using a model that accounts for the cross‐sectional relation between five characteristics and average stock returns, I obtain cost‐of‐equity estimates that outperform those produced by the Fama‐French five‐factor model in out‐of‐sample tests. Because the proposed approach builds directly on standard cross‐sectional regression techniques, it provides complete flexibility in choosing the firm characteristics used to formulate the cost‐of‐equity estimates.     

Frontier and emerging government bond markets

We investigate correlation dynamics and diversification properties of US dollar-denominated debt issued by governments of frontier markets. Our analysis is on the aggregate, regional, and country level, with a sample covering 29 countries over the period 2001–2013. We show that the correlation between the returns of frontier government bond markets and US government bonds is time-varying, but on average close to zero. Correlations with US investment grade corporate bonds, US corporate high yield bonds, and US dollar-denominated debt issued by governments of emerging markets are substantially higher, which limits diversification benefits for investors who already own these asset classes.     

US Fiscal Policy and Asset Prices: The Role of Partisan Conflict

Fiscal policy shocks exert wide‐reaching effects, including movements in asset markets. US politics have been characterized historically by a high degree of partisan conflict. The combination of increasing polarization and divided government leads not only to significant Congressional gridlock, but also to spells of high fiscal policy uncertainty. This paper adds to the literature on the relationships between fiscal policy and asset prices in the US economy conditional on the degree of partisan conflict. We analyze whether a higher degree of partisan conflict (legislative gridlock) reduces the efficacy of the effect and response of fiscal policy on and to asset price movements, respectively. We find that partisan conflict does not significantly affect the relationships between the fiscal surplus to gross domestic product (GDP) and housing and equity returns. Rather, if important, partisan conflict affects the actual implementation of fiscal policy actions.