Bookbuilding with heterogeneous investors

Empirical evidence suggests that better-informed investors in bookbuilt IPOs submit more informative bids and receive better allocations than do investors with less precise information. While the traditional bookbuilding argument accounts for this evidence as better-informed investors being rewarded with more favorable allocations for providing more useful information, the present paper adopts the winner's curse argument and shows that better-informed investors get better allocations by being better able to pick underpriced issues, even though in equilibrium investors' bids fully reveal their information. The paper offers empirical implications that allow the two arguments to be separated.     

Capital market equilibrium with heterogeneous investors

As a two-parameter model that satisfies stochastic dominance, the mean-extended Gini model is used to build efficient portfolios. The model quantifies risk aversion heterogeneity in capital markets. In a simple Edgeworth box framework, we show how capital market equilibrium is achieved for risky assets. This approach provides a richer basis for analysing the pricing of risky assets under heterogeneous preferences. Our main results are: (1) identical investors, who use the same statistic to represent risk, hold identical portfolios of risky assets equal to the market portfolio; and (2) heterogeneous investors as expressed by the variance or the extended Gini hold different risky assets in portfolios, and therefore no one holds the market portfolio.     

Equity market integration in the Asia-Pacific region: A smooth transition analysis

We use a smooth transition logistic function to test for equity market integration in a sample of Asia-Pacific countries. This allows us to gauge the speed at which a market is becoming integrated. Of the countries we examine we find that Thailand has the fastest pace of global integration. When we examine the extent to which local integration is taking place, we find that Singapore is experiencing the fastest rise in market integration.     

Index portfolio and welfare analysis under heterogeneous beliefs

With a growing popularity of index funds, we adopt a differences-in-opinion, general equilibrium framework to examine theoretically whether investors are better off with an index portfolio than active investing. In contrary to the conventional view, we find that, even for an active investor with the most accurate belief, switching to an index portfolio can significantly improve his expected ex-post welfare when the active investors have incorrect beliefs or face incomplete information. Moreover, the welfare improvement becomes more substantial when the active investors are more risk averse.     

A note on factor analysis and arbitrage pricing theory

This paper examines some theoretical and empirical properties of factor analysis and spells out their implications for Arbitrage Pricing Theory (APT). Doubts on the appropriateness of conventional factor analytic procedures for testing APT are raised on theoretical as well as empirical grounds.     

Forecasting stock volatility with economic policy uncertainty: A smooth transition GARCH-MIDAS model

Given that policy uncertainty shocks in the economic environment can exacerbate financial market volatility and pose financial risks, this paper utilizes a smooth transition version of the GARCH-MIDAS model to investigate the impact of different structural state changes in economic policy uncertainty (EPU) on stock market volatility. The extended model explains the nonlinear effects of the macro variables and the structural break changes in regime transitions. The empirical results confirm that the EPU indicators provide effective prediction information for stock volatility from the in-sample and out-of-sample analyses, which reveals that the smooth transition model provides an effective method for detecting the possible regime changes between stock volatility and macroeconomic uncertainty. Additionally, we further confirm that some category-specific EPU indicators also have strong smooth transition behaviour with respect to stock volatility. More important, our new model provides significant economic value to investors from a utility gain perspective. Overall, the institutional changes present in EPU play a nonnegligible and important role in stock market volatility. Accurate identification of the structural features of financial data helps investors deepen their understanding of the sources of stock market volatility.     

Identification through technical analysis: A study of charting and UK non-professional investors

The usefulness of technical analysis, or charting, has been questioned because it flies in the face of the ‘random walk’ and tests present conflicting results. We examine chartists’ decision-making techniques and derive a taxonomy of charting strategies based on investors’ market ontologies and calculative strategies. This distinguishes between trend-seekers and pattern-seekers, and trading as a system or an art. We argue that interpretative activity plays a more important role than previously thought and suggest that charting’s main appeal for users lies in its power as a heuristic device regardless of its effectiveness at generating returns.     

Rating model arbitrage in CDO markets: An empirical analysis

We analyze whether information asymmetry between issuers and investors leads to rating model arbitrage in Collateralized Debt Obligation markets. Rating model arbitrage is defined as the issuer's deliberate capitalization of information asymmetry at the investor's cost on the basis of different rating processes. Using data from CDO transactions grouped by both rating agencies and underlying rating methodologies, we test for homogeneity of characteristic transaction features within the group and heterogeneity between the different groups. We find that the hypothesis stating non-existence of rating model arbitrage on the basis of information asymmetry does not hold as individual patterns of transaction characteristics within each group could be identified.     

Dynamic asymmetries in house price cycles: A generalized smooth transition model

In this paper we propose a novel nonlinear model to capture asymmetries in real estate cycles. The approach involves a particular parametrization of the transition function used in the transition equation of a smooth transition autoregressive model which improves the fit in the non-central probability region. The dynamic symmetry in house price cycles is strongly rejected for the housing markets taken into consideration. Further, our results show that the proposed model performs well in a out of sample forecasting exercise.     

Tax arbitrage in government bonds: A suggested methodology with policy implications

This paper develops a geometric methodology with which to analyze the no-arbitrage condition, with special reference to tax arbitrage in government bonds. Using this methodology, it is shown that a country's bond-issuing authority might be able to painlessly avoid market equilibria which is likely to induce tax arbitrage activities. The simple bond-issuing policy which will achieve this goal is identified, and its limitations are discussed. An examination of the Canadian and Israeli bond markets shows that adopting the prescribed bond-issuing policy does not meaningfully impinge on the bond-issuing authority's ability to sell bonds.     

Long memory and nonlinearity in conditional variances: A smooth transition FIGARCH model

This paper introduces the Smooth Transition version of FIGARCH model which is designed to account for both long memory and nonlinear dynamics in the conditional variance. Nonlinearity is introduced via a logistic transition function. The model can capture smooth changes in the volatility across different regimes as well as asymmetric response to negative and positive shocks and allows for nonzero thresholds. Simulations find that the Smooth Transition FIGARCH model outperforms the standard FIGARCH model when nonlinearity is present, and ignoring nonlinearity in the data may induce considerable costs in terms of bias and efficiency. Applications to exchange rate and stock market data show that the proposed model performs well both in-sample fit as well as in forecasting one-day ahead volatility.     

Detecting time-variation in corporate bond index returns: A smooth transition regression model

This paper investigates the time-varying corporate bond index returns in a multi-factor smooth transition regression model. We find that expected index returns vary between weak and strong economic regimes, where the transition from one regime to the other is governed by the 3-quartered growth of industrial production. Weak economic regimes are characterized by low growth of industrial production, vice versa for strong economic regimes. Further, risk factor sensitivities are generally more negative in strong economic regimes than in weak regimes, implying that index returns are low when economic conditions are good and high when economic conditions are poor.     

Cross-hedging foreign currency risk: Empirical evidence from an error correction model

In this article, the traditional price change hedge ratio estimation method is extended by applying the theory of cointegration in the case of cross-hedging of spot exchange risk of the Belgian franc (BF), the Italian lira (IL), and the Dutch guilder (NG) with U.S. Dollar Index futures contracts. Previous studies ignore the last period's equilibrium error and short-run deviations. The findings of this study indicate that the hedge ratio estimated by the error correction method is superior to that obtained from the traditional method, as evidenced by the likelihood ratio test and out-of-sample forecasts. Hedgers will be able to control the risk of their portfolios more effectively at a lower cost.     

Dynamic efficiency and arbitrage potential in Bitcoin: A long-memory approach

Employing a long-memory approach, we provide a study of the evolution of informational efficiency in five major Bitcoin markets and its influence on cross-market arbitrage. While all the markets are close to full informational efficiency over the whole sample period, the degree of market efficiency varies across markets and over time. The cross-market discrepancy in market efficiency gradually vanishes, suggesting the segmented markets are developing to a consensus where all markets are equally efficient. Through a fractionally cointegrated vector autoregressive (FCVAR) model we show that when the efficiency in Bitcoin/USD and Bitcoin/AUD markets improves the cross-market arbitrage potential narrows, whereas it widens when the efficiency in Bitcoin/CAD, Bitcoin/EUR, and Bitcoin/GBP markets improves. A battery of robustness checks reassure our main findings.     

Activist arbitrage: A study of open-ending attempts of closed-end funds

This paper documents frequent attempts by activist arbitrageurs to open-end discounted closed-end funds, particularly after the 1992 proxy reform which reduced the costs of communication among shareholders. Open-ending attempts have a substantial effect on discounts, reducing them, on average, to half of their original level. The size of the discount is a major determinant of whether a fund gets attacked. Other important factors include the costs of communication among shareholders and the governance structure of the targeted fund. Our study contributes to the understanding of the actions undertaken by arbitrageurs in financial markets beyond just pure trading.     

Range-based multivariate volatility model with double smooth transition in conditional correlation

This paper proposes a multivariate model named Double Smooth Transition Conditional Correlation Conditional Autoregressive Range (DSTCC-CARR for short). Determined by two transition variables, the correlations smoothly transit from one state to another. Together with the DSTCC-GARCH model, the model is employed to investigate the interdependence between Hong Kong's and international stock markets. It is proved by the empirical analysis that the DSTCC-CARR model is more credible and efficient than the DSTCC-GARCH model. Linkages among Hong Kong's and other world's markets captured by these two models are testified to be consistent with history, and have meaningful interpretations.     

Institutional investors and bank governance: An international analysis of bank earnings management

Despite the growing importance of institutional investors in global capital markets and the link between bank earnings management and financial crash risk, little is known about the role of institutional investors in mitigating bank earnings management. We conduct the first international analysis of this issue using a broad sample of banks and institutional investors. We find a negative relation between institutional ownership and bank earnings management, after controlling for the stringency of a country's bank regulations and other relevant bank and country characteristics. Additionally, institutional ownership is more negatively related to earnings management in countries with more-stringent bank disclosure requirements or when ownership is held by domestic rather than foreign institutional investors. Institutional ownership is also more negatively related to earnings management in countries in which insiders extract more private benefits or when ownership is held by institutional blockholders. Our findings have important policy implications regarding institutional investors' engagement with banks.     

Density estimation through quasi-analytic Monte-Carlo simulation: Options arbitrage with transactions costs

Discretely rebalanced options arbitrage strategies in the presence of transaction costs have path dependent returns that are difficult to model analytically. I instead use a quasi-analytic procedure that combines the computational efficiency of analytical solutions with the flexibility of simulations. The central feature is the estimation of the distribution of returns of the arbitrage strategy by mapping simulated returns percentiles and the input parameter set. Using the estimated density, I evaluate the tradeoff between transaction costs and risk exposure under generalized transaction costs structures that includes bid-ask spread and brokerage commission. I show that the optimal strategy depends on transaction costs, volatility, and option moneyness. Strategies such as rebalancing when the hedge ratio changes by 0.25, balances transaction costs and risk exposure, and can be optimal.

Exchange risk and universal returns: A test of international arbitrage pricing theory

According to the international arbitrage pricing theory (IAPT) posited by Solnik (1983), currency movements affect assets' factor loadings and associated risk premiums. Based on a novel universal return decomposition, we propose an empirical model to test this proposition and perform tests using U.S. stock returns in the period 1975–2008. Our results confirm that currency movements significantly affect the market betas of a large proportion of stocks. Further cross-sectional tests indicate that currency movements affecting the market factor are significantly priced in stock returns. Based on these and other findings, we conclude that Solnik's IAPT is supported. An important implication of our findings is that exchange rate risk can broadly affect stock returns through both factor loading and residual factor channels.     

Exchange risk and universal returns: A test of international arbitrage pricing theory

According to the international arbitrage pricing theory (IAPT) posited by Solnik (1983), currency movements affect assets' factor loadings and associated risk premiums. Based on a novel universal return decomposition, we propose an empirical model to test this proposition and perform tests using U.S. stock returns in the period 1975–2008. Our results confirm that currency movements significantly affect the market betas of a large proportion of stocks. Further cross-sectional tests indicate that currency movements affecting the market factor are significantly priced in stock returns. Based on these and other findings, we conclude that Solnik's IAPT is supported. An important implication of our findings is that exchange rate risk can broadly affect stock returns through both factor loading and residual factor channels.