Evaluation of linear asset pricing models by implied portfolio performance

We present a theoretical perspective that motivates the use of the Generalized Least Squares R-Square, prominently advocated by Lewellen et al. [Lewellen, J., Nagel, S., Shanken, J., forthcoming. A skeptical appraisal of asset-pricing tests. Journal of Financial Economics], as an evaluation measure for multivariate linear asset pricing models. Adapting results from Shanken [Shanken, J., 1985. Multivariate tests of the zero-beta CAPM. Journal of Financial Economics 14, 327–348] and Kandel and Stambaugh [Kandel, S., Stambaugh, R.F., 1995. Portfolio inefficiency and the cross-section of expected returns. Journal of Finance 50, 157–184], we provide various interpretations and a graphical account in mean-variance space of this measure, facilitating a better understanding of its properties. We furthermore relate it to another leading evaluation metric, the HJ-distance of Hansen and Jagannathan [Hansen, L.P., Jagannathan, R., 1997. Assessing specification errors in stochastic discount factor models. Journal of Finance 52, 557–590]. Additionally, we present a comparison between these evaluation measures using mean-variance mathematics in risk-return space, and we provide a simple formula for calculating both model evaluation measures that involves only the parameters of the mean-variance asset and factor frontiers.     

Implied volatility and future portfolio returns

Prior studies find that the CBOE volatility index (VIX) predicts returns on stock market indices, suggesting implied volatilities measured by VIX are a risk factor affecting security returns or an indicator of market inefficiency. We extend prior work in three important ways. First, we investigate the relationship between future returns and current implied volatility levels and innovations. Second, we examine portfolios sorted on book-to-market equity, size, and beta. Third, we control for the four Fama and French [Fama, E., French, K., 1993. Common risk factors in the returns on stocks and bonds. Journal of Financial Economics 33, 3–56.] and Carhart [Carhart, M., 1997. On persistence in mutual fund performance. Journal of Finance, 52, 57–82.] factors. We find that VIX-related variables have strong predictive ability.     

International diversification strategies: Revisited from the risk perspective

Following Roll [Roll, R., 1992. Industrial structure and comparative behaviour of international stock market indices. Journal of Finance 47, 3–42] and Heston and Rouwenhorst [Heston, S.L., Rouwenhorst, G.K., 1994. Does industrial structure explain the benefits of international diversification. Journal of Financial Economics 36, 3–27], researchers have decomposed stock returns into country and industry components. Evidence suggests that industry components have become more important in recent years, but the reasons for this are unclear. Existing research concentrated mainly on stock returns in industrial countries. In this paper we consider instead the decomposition of stock risks within emerging equity markets. We provide a rationale for this procedure and its relationship to return decompositions. The results provide new firm-specific evidence on the debate over country and industry components, their stability over time, and the implications for portfolio diversification.     

Portfolio efficiency and discount factor bounds with conditioning information: An empirical study

Stochastic discount factor bounds provide a useful diagnostic tool for testing asset pricing models by specifying a lower bound on the variance of any admissible discount factor. In this paper, we provide a unified derivation of such bounds in the presence of conditioning information, which allows us to compare their theoretical and empirical properties. We find that, while the location of the ‘unconditionally efficient (UE)’ bounds of [Ferson, W., Siegel, A., 2001. The efficient use of conditioning information in portfolios. Journal of Finance 56 (3), 967–982] is statistically indistinguishable from the (theoretically) optimal bounds of [Gallant, R., Hansen, L., Tauchen, G., 1990. Using conditional moments of asset payoffs to infer the volatility of intertemporal marginal rates of substitution. Journal of Econometrics 45 (1), 141–179] (GHT), the former exhibit better sampling properties. We demonstrate that the difference in sampling variability of the UE and GHT bounds is due to the different behavior of the efficient return weights underlying their construction.     

Closed-End Fund Discounts with Informed Ownership Differential

We develop a multiasset trading model to examine the closed-end fund discount. The model shows that the discount can arise if the quality of private information in the underlying assets is sufficiently better than in the fund. The model also indicates that a discount (premium) can arise if the excessive volatility of the fund dominates (is dominated by) the fund's diversification benefit. Moreover, the model predicts a negative relation between the discount and the institutional ownership differential, as arbitrageurs prefer funds with large discounts. Using a sample of U.S. equity closed-end funds, we test these predictions and find supporting evidence. Journal of Economic Literature Classification Numbers: D82, G10, G12, G14.     

Accounting-based versus market-based cross-sectional models of CDS spreads

Models of financial distress rely primarily on accounting-based information (e.g. [Altman, E., 1968. Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. Journal of Finance 23, 589–609; Ohlson, J., 1980. Financial ratios and the probabilistic prediction of bankruptcy. Journal of Accounting Research 19, 109–131]) or market-based information (e.g. [Merton, R.C., 1974. On the pricing of corporate debt: The risk structure of interest rates. Journal of Finance 29, 449–470]). In this paper, we provide evidence on the relative performance of these two classes of models. Using a sample of 2860 quarterly CDS spreads we find that a model of distress using accounting metrics performs comparably to market-based structural models of default. Moreover, a model using both sources of information performs better than either of the two models. Overall, our results suggest that both sources of information (accounting- and market-based) are complementary in pricing distress.     

How smart is money? An investigation into investor behaviour in the Australian managed fund industry

Gruber [Gruber, M., 1996. Another puzzle: the growth in actively managed mutual funds. Journal of Finance 51, 783–810] and Zheng [Zheng, L., 1999. Is money smart? A study of mutual fund investors’ fund selection ability. Journal of Finance 54, 901–933] document that managed fund investors demonstrate fund selection ability as they invest in funds whose subsequent performance is greater than that of funds from which they divest. This phenomenon has been since been termed the ‘smart money effect’. In contrast, Sapp and Tiwari [Sapp, T., Tiwari, A., 2004. Does stock return momentum explain the ‘smart money’ effect? Journal of Finance 59, 2605–2622] find that after controlling for stock return momentum, there is no evidence of a smart money effect. In this paper, we investigate whether a smart money effect exists in the Australian managed funds industry. The key findings of our paper are that there is a smart money effect in Australia and that stock return momentum does not explain this effect. We also find that the effect is not conditional on fund size. Our cross-sectional analysis indicates that investors are chasing funds that have performed well in the past and that cash flows to funds are persistent. However, we do not find any evidence that investors are pursuing funds that employ momentum trading strategies.     

Does Sentiment Explain Closed-end Fund Discounts? Evidence from Bond Funds

This paper documents that discounts and premia on closed-end bond funds exhibit the same sensitivity to broad market returns as stock fund discounts. Despite this, stock funds sell on average at discounts from net asset value while bond funds sell at small premia. This pattern calls into question the conclusion that the average level of the discount rate can be rationalized by appealing to the systematic nature of discount risk. These results indicate that appeals to investor sentiment, which have been hypothesized as a source of fund discounts, do not fully resolve the puzzle of closed-end fund discounts.     

Debt,investment, and product market competition: A note on the limited liability effect

This paper extends a model by Brander and Lewis [Brander, J., Lewis, T., 1986. Oligopoly and financial structure: The limited liability effect. American Economic Review 76, 956–970] on the relationship between capital structure, investment and product market competition based on the limited liability effect of debt. Empirical papers (see for example Campello [Campello, M., 2003. Capital structure and product markets interactions: Evidence from business cycles. Journal of Financial Economics 68, 353–378], and Chevalier [Chevalier, J., 1995a. Capital structure and product market competition: Empirical evidence from the supermarket industry. American Economic Review 85, 415–435; Chevalier, J., 1995b. Do LBO supermarkets charge more? An empirical analysis of the effect of LBOs on supermarket pricing. Journal of Finance 50, 1095–1112]) generally reject the limited liability theories in favor of the predatory theories because leverage leads to less investment and weaker product market competition. This paper shows that when firms also have an investment choice, leverage can lead to weaker product market competition in a limited liability model. In addition, non-zero leverage is still optimal within this model based solely on the limited liability effect. In predatory models debt is motivated by issues outside of product market concerns, for example to solve an agency problem. Finally, this model is also consistent with the investment decisions documented empirically.     

Bank consolidation and new business formation

As the trend of bank consolidation activities continues to grow in the US and globally, the debate on the impact of such consolidation on small business credits and activities are still inconclusive. Building on the existing research [Berger, A.N., Saunders, A., Scalise, J.M., Udell, G.F., 1998. The effects of bank mergers and acquisitions on small business lending. Journal of Financial Economics 50, 187–229]; [Black, S.E., Strahan, P.E., 2002. Entrepreneurship and bank credit availability. Journal of Finance LVII (6), 2807–2833], this paper investigates the effects of the actual intensity of bank consolidation on the formation of new businesses in the US local markets. Evidence portrays that in the short-run, the overall intensity of bank consolidation is negatively related to the rate of new business formation, and this negative relationship is primarily driven by consolidations initiated by large acquirers. On the contrary, consolidations between small-to-medium sized banks show a positive impact on new business development and these results are consistent even when the M&As are distinguished with respect to in-market or out-of-market acquirers initiating the deals. However, two years after the consolidations, the evidence reveals a positive and significant impact on the rate of new business formation in the local markets for consolidations initiated by large in-market acquirers.     

Shareholder value efficiency in European banking

This paper advances the studies of [Hughes, J.P., Lang W.W., Mester L.J., Moon C.G., Pagano M.S., 2003. Do bankers sacrifice value to build empires? Managerial incentives, industry consolidation, and financial performance. Journal of Banking and Finance 27, 417–447] by developing a new measure of bank performance which we refer to as “shareholder value efficiency” – a bank producing the maximum possible Economic Value Added (EVA), given particular inputs and outputs, is defined as “shareholder value efficient”. This new efficiency measure is estimated using the stochastic frontier method focussing on the French, German, Italian and UK banking systems over the period 1997–2002 and includes both listed and non-listed banks. We find that European banks are, on average, 36% shareholder value inefficient. Shareholder value efficiency is found to be the most important factor explaining value creation in European banking, whereas cost and profit efficiency only have a marginal influence.     

Inflation-indexed swaps and swaptions

This article considers the pricing and hedging of inflation-indexed swaps, and the pricing of inflation-indexed swaptions, and options on inflation-indexed bonds. To price the inflation-indexed swaps, we suggest an extended HJM model. The model allows both the forward rates and the consumer price index to be driven, not only by a standard multidimensional Wiener process but also by a general marked point process. Our model is an extension of the HJM approach proposed by Jarrow and Yildirim [Jarrow, R., Yildirim, Y., 2003. Pricing treasury inflation protected securities and related derivatives using an HJM model. Journal of Financial and Quantitative Analysis 38, 409–430] and later also used by Mercurio [Mercurio, F., 2005. Pricing inflation-indexed derivatives. Quantitative Finance 5 (3), 289–302] to price inflation-indexed swaps. Furthermore we price options on so called TIPS-bonds assuming the model is purely Wiener driven. We then introduce an inflation swap market model to price inflation-indexed swaptions. All prices derived have explicit closed-form solutions. Furthermore, we formally prove the validity of the so called foreign-currency analogy.     

Static hedging and pricing American options

This paper utilizes the static hedge portfolio (SHP) approach of Derman et al. [Derman, E., Ergener, D., Kani, I., 1995. Static options replication. Journal of Derivatives 2, 78–95] and Carr et al. [Carr, P., Ellis, K., Gupta, V., 1998. Static hedging of exotic options. Journal of Finance 53, 1165–1190] to price and hedge American options under the Black-Scholes (1973) model and the constant elasticity of variance (CEV) model of Cox [Cox, J., 1975. Notes on option pricing I: Constant elasticity of variance diffusion. Working Paper, Stanford University]. The static hedge portfolio of an American option is formulated by applying the value-matching and smooth-pasting conditions on the early exercise boundary. The results indicate that the numerical efficiency of our static hedge portfolio approach is comparable to some recent advanced numerical methods such as Broadie and Detemple [Broadie, M., Detemple, J., 1996. American option valuation: New bounds, approximations, and a comparison of existing methods. Review of Financial Studies 9, 1211–1250] binomial Black-Scholes method with Richardson extrapolation (BBSR). The accuracy of the SHP method for the calculation of deltas and gammas is especially notable. Moreover, when the stock price changes, the recalculation of the prices and hedge ratios of the American options under the SHP method is quick because there is no need to solve the static hedge portfolio again. Finally, our static hedging approach also provides an intuitive derivation of the early exercise boundary near expiration.     

Asset pricing models with errors-in-variables

This paper revisits Fama and French [Fama, Eugene F., French, Kenneth R., (1993) Common risk factors in the returns on stock and bonds. Journal of Financial Economics 33 (1), 3–56] and Carhart [Carhart, Mark M., 1997. On persistence in mutual fund performance. Journal of Finance 52 (1), 57–82] multifactor model taking into account the possibility of errors-in-variables. In their well known paper, Fama and French [Fama, Eugene F., French, Kenneth R., 1997. Industry costs of equity. Journal of Financial Economic 43 (2), 153–193] concluded that estimates of the cost of equity for the three-factor model of FF (1993) were imprecise. We argue that this imprecision is even more severe because of the pervasive effects of measurement errors. We propose Dagenais and Dagenais [Dagenais, Marcel G., Dagenais, Denyse L., 1997. Higher moment estimators for linear regression models with errors in the variables. Journal of Econometrics 76 (1–2), 193–221] higher moments estimator as a solution. Our results show that estimates of the cost of equity obtained with Dagenais and Dagenais estimator differ sharply from popular OLS estimates and shed a new light on performance attribution and abnormal performance (α). Adapting the Generalized Treynor Ratio, recently developed by Hübner [Hübner, Georges, 2005. The generalized treynor ratio. Review of Finance 9 (3), 415–435], we show that the performance of managed portfolios with multi-index models should be revisited in presence of errors-in-variables.     

A note on Chui,Gai and Haldane’s “Sovereign liquidity crisis: Analytics and implications for public policy”

This note corrects the welfare calculations in Chui, Gai and Haldane’s paper on sovereign liquidity crisis [Chui, M., Gai, P., Haldane, A.G., 2002. Sovereign liquidity crisis: Analytics and implications for public policy. Journal of Banking and Finance 26, 519–544]. We show that the exact formula not only dramatically reduces the computed welfare consequences from 66% of ex-ante expected output to roughly 13%, but also changes the direction of some reported comparative static results. In addition, we clarify the difference between fundamentals-driven and belief-driven welfare costs and extend some of the sensitivity calculations.     

Information content of options trading volume for future volatility: Evidence from the Taiwan options market

This study follows the approach of Ni et al. [Ni, S.X., Pan, J., Poteshman, A.M., 2008. Volatility information trading in the option market. Journal of Finance 63, 1059–1091] – based upon the vega-weighted net demand for volatility – to determine whether volatility information exists within the Taiwan options market. Our empirical results show that foreign institutional investors possess the strongest and most direct volatility information, which is realized by the delta-neutral options/futures trades. In addition, a few individual investors (less than 1% of individuals’ trades) might be informed and realize their volatility information using the strangle strategy. Surprisingly, we find no evidence to support the predictive ability of the volatility demand from straddle trades, despite the widespread acknowledgement that such trades are sensitive to volatility.     

Payout policies and closed-end fund discounts: Signaling, agency costs, and the role of institutional investors

The adoption of a managed distribution policy or plan (MDP) by closed-end funds appears effective in dramatically reducing, even eliminating, fund discounts. We investigate two possible explanations: the signaling explanation proposed in the literature, that the MDP serves as a positive signal of future fund performance, and an alternative explanation based on agency costs. Our results indicate that signaling is, at best, only part of the explanation and that the evidence is generally more consistent with the agency cost hypothesis. For funds adopting aggressive payout targets of 10% (median target) and above, discounts tend to disappear, though there is no discernible improvement in NAV performance. Consistent with the agency cost hypothesis, it is often pressure from institutions/large shareholders that leads to the adoption of aggressive payout policies. Moreover, aggressive-MDPs are associated with a decrease in fund size and managerial fees. Suggestive of their activist role in MDP adoptions and/or informed trading, institutions – especially ones that are Value oriented – tend to build-up their holdings in a fund prior to the adoption of an aggressive-MDP, and liquidate their positions once the price rises.     

赎回权的价值与封闭式基金折价率研究——兼论“封转开”方案设计

本文比较了封闭式基金与对等的开放式基金之间的差异，认为缺少赎回权是封闭式基金产生折价的主要原因。在一个具有完全择时能力的封闭式基金投资者的假设条件下，本文推导并证实了赎回权价值上限和隐含折价率下限计算公式。基于赎回权，本文提出了“封转开”方案设计的一个新思路，希望对市场上正在热烈讨论的“封转开”问题有所启示。     

Dividend distributions and closed-end fund discounts

Empirical support for the hypothesis that closed-end fund discounts are related to overhanging tax liabilities has been mixed. We introduce a new approach to testing this hypothesis by examining changes in discount levels following distributions of dividends and capital gains. Since distributions reduce future shareholder tax liabilities, the tax liability hypothesis implies that closed-end fund discounts should decline following distributions. Focusing on changes in discounts isolates this tax effect by eliminating the impact of other fund-specific factors on discount levels. Our results support the tax liability hypothesis, showing that short-run fluctuations in discounts are directly affected by taxable distributions.     

The strategic specialist and imperfect competition in a limit order market

The empirical literature suggests that the limit order book contains information that might be used by the specialist to his own advantage. I develop a model where there is a strategic specialist who competes against a limit order book and has information about supply. The presence of a strategic specialist in an imperfectly competitive limit order book market induces non-monotonicity of market indicators with respect to the variance of liquidation value. Moreover, the existence of private information about supply significantly affects market performance as it induces, among other effects, lower market liquidity. Finally, this model suggests another link between Kyle’s (1985, 1989) [Kyle, A., 1985. Continuous auctions and insider trading. Econometrica 53, 1315–1336, Kyle, A., 1989. Informed speculators with imperfect competition. Review of Economic Studies 56, 317–356] and Glosten and Milgrom’s (1985) [Glosten, L., Milgrom, P., 1985. Bid, ask and transaction prices in a specialist market with heterogeneously informed markets. Journal of Financial Economics 14, 71–100] models by allowing for strategic behaviour of the specialist.