Which financial stocks did short sellers target in the subprime crisis?

Tracing the SEC ban on the short selling of financial stocks in September 2008, this paper investigates whether such selling activity before the 2008 short ban reflected financial companies’ risk exposure in the subprime crisis. Evidence suggests that short sellers sold short stocks that had the greatest asset and insolvency risk exposures, and that the short selling of financial firms’ stocks was not significantly greater than that of non-financial firms after we match them on firm size and insolvency risk. When the short ban was in effect, the market quality of financial stocks without subprime assets exposure had deteriorated to a larger degree than that of financial companies with subprime assets exposure. The findings imply that such a regulation may mute the market disciplining effects of investors and may also be seen as a counterweight to any perceived macro or systemic risk reduction benefits resulting from such a ban.     

Efficient estimation of lower and upper bounds for pricing higher-dimensional American arithmetic average options by approximating their payoff functions

In this paper, we develop an efficient payoff function approximation approach to estimating lower and upper bounds for pricing American arithmetic average options with a large number of underlying assets. The crucial step in the approach is to find a geometric mean which is more tractable than and highly correlated with a given arithmetic mean. Then the optimal exercise strategy for the resultant American geometric average option is used to obtain a low-biased estimator for the corresponding American arithmetic average option. This method is particularly efficient for asset prices modeled by jump-diffusion processes with deterministic volatilities because the geometric mean is always a one-dimensional Markov process regardless of the number of underlying assets and thus is free from the curse of dimensionality. Another appealing feature of our method is that it provides an extremely efficient way to obtain tight upper bounds with no nested simulation involved as opposed to some existing duality approaches. Various numerical examples with up to 50 underlying stocks suggest that our algorithm is able to produce computationally efficient results.     

Grenzen zulässiger Kapitalanlagestrategien deutscher Lebensversicherer

The article focuses on two questions related to the financial supervision of German life insurers. German insurers are not allowed to invest more than 30% (35 % from Jan. 1st, 2002) of their assets covering the technical provisions in stocks. First, it has been elaborated that this fixed limitation of stock investments is inconsistent with a risk-related asset allocation. Life insurers should observe the recognitions of the capital market theory as do all other investors. Basically, fixed liabilities have to be covered safely, i. e. with bonds. Not withstanding this, fixed liabilities may be covered with stocks if the losses which may occur due to the volatility of the capital markets can be equalized through the dissolution of hidden reserves (which is a phenomenon arising from the German accounting standards). Since the hidden reserves differ from insurer to insurer the regulation of stock investments is recommended to be carried out individually. The British solution has been introduced as an example for an individual regulation of the stock / bond-ratio. Secondly, the differentiation between the German technical provisions and free assets is also partly inconsistent with a risk-related asset allocation. The free assets cover liabilities to the amount of the terminal bonus reserve, which have to be covered safely with bonds. Nevertheless, even today a with-bonus life insurance contract investing more in stocks than in bonds can be offered. In this case, fixed liabilities should be prevented by a low guaranteed interest rate and a high and variable terminal bonus.     

A Note on the Analytics and Geometry of Limiting Mean—Variance Investment Opportunity Sets

This paper extends the mathematics developed by Merton (1972) to the limiting investment opportunity set as smaller risk assets are added. Investment opportunity sets of risky assets are well-known to be described by hyperbolae in mean-standard deviation space. In practice, the asset classes in portfolios may vary from high risk common stocks to near cash assets. Low variability assets change the appearance of the investment opportunity set to the extent that a unique optimum risky asset portfolio disappears. The limiting result is similar to the investment opportunity set that arises when two assets are perfectly correlated. The location of the IOS is shown to mathematically depend upon the level of the riskless interest rate and one slope parameter. The slope parameter is estimable, using a finite number of assets, and represents a bound on market Sharpe ratios.     

家庭风险金融资产配置对个人幸福感的影响研究

利用CHFS2015数据通过有序probit模型实证分析了家庭风险金融资产配置对个人幸福感的影响。研究发现,在城乡总样本中配置股票对个人幸福感有显著负向影响,配置银行理财产品对个人幸福感有显著正向影响,基金、债券均无显著影响。但在城市、农村子样本中,不同风险资产配置又体现出差异性,如股票对幸福感的影响在农村不再显著。我们还发现,我国家庭风险金融资产配置比例极低,股票比重较大,结构有待调整。     

Risk diversification gains from metropolitan housing assets

The study analyzes the roles of metropolitan housing assets in risk diversification by assessing intertemporal hedging demands for multi‐asset portfolios, which include metropolitan houses, REITs, stocks, bonds, and riskless assets. Investors substitute housing assets in high‐population MSAs with those in low‐population cities, and they switch their holdings of housing assets to less risky bonds in the 2007–2008 housing bust. The findings from the multi‐period portfolio choice problem provide evidence for momentum reversal since forward‐looking investors substitute bottom metropolitan housing assets for top ones in the housing boom, and the GTTB index and the lagged REIT price return have negative impacts on various asset returns.     

基金业绩排名与泡沫资产配置

基金在业绩排名压力下的泡沫资产配置行为会加剧市场波动、推升市场泡沫。本文基于事件研究法与固定效应模型研究了2013―2020年基金的重仓持股,发现:(1)基金在泡沫膨胀阶段显著超配了泡沫资产,而在泡沫破裂前后显著减配,展现了“泡沫骑乘者”的特征;(2)2015年前后,泡沫资产主要为小市值股票,2019―2020年,泡沫资产逐渐转为大市值“白马股”,且基金超配的程度显著提高,呈现抱团大盘白马股的特征;(3)排名前5%的赢家基金,以及1/3和1/10关键排名处的基金更激进地超配泡沫资产;(4)相邻排名基金的业绩差异越大,基金的泡沫资产配置行为越明显。综上表明,基金公司并不一定是天然的市场稳定器,监管层应密切关注业绩压力下基金超配泡沫资产的行为,投资者则应理性选择长期声誉较高的基金。     

Stock price fragility

We study the relation between the ownership structure of financial assets and non-fundamental risk. We define an asset to be fragile if it is susceptible to non-fundamental shifts in demand. An asset can be fragile because of concentrated ownership, or because its owners face correlated or volatile liquidity shocks, i.e., they must buy or sell at the same time. We formalize this idea and apply it to mutual fund ownership of US stocks. Consistent with our predictions, fragility strongly predicts price volatility. We then extend the logic of fragility to investigate two natural extensions: (1) the forecast of stock return comovement and (2) the potentially destabilizing impact of arbitrageurs on stock prices.     

Liquidity Risk of Private Assets: Evidence from Real Estate Markets

Investment in thinly traded private assets involves liquidity risk. Existing literature provides limited guidance as it mainly focuses on publicly traded security assets such as stocks and bonds. This paper develops an analytical tool for quantifying liquidity risk of private assets. Using commercial real estate as a model asset and under reasonable assumptions, we find that the magnitude of liquidity risk is too large to be ignored, especially in down markets when liquidity risk is a great concern.     

Intangible Assets and Firm Asset Risk Taking: An Analysis of Property and Liability Insurance Firms

Intangible assets facilitate insurers' capacity to retain existing business and attract new clients. In this study we analyze how the incentives to protect intangible assets affect asset risk-taking behavior of property and liability insurers. The result supports the view that insurers' incentives to protect their intangible assets lead to an inverse relation between intangible assets and asset risk. Consistent with the view that highly levered firms may go for broke, asset risk of highly levered insurers is less elastic to intangible assets than that of lower-levered insurers. An additional notable finding of our article is that tangible factors like firm size and capitalization increase insurers' appetites for asset risk taking.     

Asset liquidity,business risk,and beta

Extant literature posits that because of leverage, equity beta estimates from a single factor capital asset pricing model based on an equity-only market index are biased. We show analytically that this leverage bias is intimately related to the firm's asset structure per se, the firm's asset liquidity (i.e., cash holdings) and business risk. This is mainly because riskless cash holdings and risky real assets jointly determine the relevant risk for asset pricing. We empirically confirm that asset liquidity and business risk can marginally explain the leverage bias in the cross-section of stocks returns.     

LAPM: A Liquidity-Based Asset Pricing Model

The intertemporal CAPM predicts that an asset's price is equal to the expectation of the product of the asset's payoff and a representative consumer's intertemporal marginal rate of substitution. This paper develops an alternative approach to asset pricing based on corporations' desire to hoard liquidity. Our corporate finance approach suggests new determinants of asset prices such as the distribution of wealth within the corporate sector and between the corporate sector and the consumers. Also, leverage ratios, capital adequacy requirements, and the composition of savings affect the corporate demand for liquid assets and, thereby, interest rates.     

Household portfolio optimization with XTFs? An empirical study using the SHS-base

XTFs are plain-vanilla Exchange Traded Funds (ETFs) which replicate a broad, internationally diversified market index. We question, if XTFs can optimize the performance of households’ portfolios when taking multiple relevant asset classes into account, not only stocks. As opposed to most existing studies, we apply representative household portfolio data to estimate households’ portfolios. Households’ portfolios in our sample show similar compositions and can be grouped into one of three stylized portfolio compositions which exhibit asset class concentrations on cash/savings, mutual funds and individual stocks. For each stylized portfolio, we first investigate if an easily investable 60/40 stock/bond XTF portfolio which is risk-adjusted (including (de-)leverage costs) to the risk of the stylized portfolios, achieves higher returns than the stylized portfolios. This is the case for all stylized portfolios, even those with concentrations on cash/savings or mutual funds. Second, we examine risk/return-changes when replacing the entire risky assets of the stylized portfolios with the 60/40 stock/bond XTF portfolio including transaction costs. This leads to return enhancements in all stylized portfolios and particularly in the portfolio with high stock concentrations to risk reductions. Overall, we find that XTFs are generally suitable to optimize the performance of households’ portfolios under consideration of multiple relevant asset classes.     

Derivative Pricing with Liquidity Risk: Theory and Evidence from the Credit Default Swap Market

We derive an equilibrium asset pricing model incorporating liquidity risk, derivatives, and short‐selling due to hedging of nontraded risk. We show that illiquid assets can have lower expected returns if the short‐sellers have more wealth, lower risk aversion, or shorter horizon. The pricing of liquidity risk is different for derivatives than for positive‐net‐supply assets, and depends on investors' net nontraded risk exposure. We estimate this model for the credit default swap market. We find strong evidence for an expected liquidity premium earned by the credit protection seller. The effect of liquidity risk is significant but economically small.     

Liquidity,Maturity, and the Yields on U.S. Treasury Securities

The effects of asset liquidity on expected returns for assets with infinite maturities (stocks) are examined for bonds (Treasury notes and bills with matched maturities of less than 6 months). The yield to maturity is higher on notes, which have lower liquidity. The yield differential between notes and bills is a decreasing and convex function of the time to maturity. The results provide a robust confirmation of the liquidity effect in asset pricing.     

Asset market linkages: Evidence from financial, commodity and real estate assets

We use a general Markov switching model to examine the relationships between returns over three different asset classes: financial assets (US stocks and Treasury bonds), commodities (oil and gold) and real estate assets (US Case-Shiller index). We confirm the existence of two distinct regimes: a “tranquil” regime with periods of economic expansion and a “crisis” regime with periods of economic decline. The tranquil regime is characterized by lower volatility and significantly positive stock returns. During these periods, there is also evidence of a flight from quality - from gold to stocks. By contrast, the crisis regime is characterized by higher volatility and sharply negative stock returns, along with evidence of contagion between stocks, oil and real estate. Furthermore, during these periods, there is strong evidence of a flight to quality - from stocks to Treasury bonds.     

The two-fund separation theorem revisited

This paper resolves two issues regarding the traditional capital asset pricing model with one risk-free asset which seem to have been overlooked in the literature. First, it provides an elementary and complete proof of the two-fund separation theorem which accounts for the fact that asset demand may become undefined if the limiting slopes of the investor’s indifference curves are finite. Second, it shows that an additional limiting condition on investors’ risk aversions is generally necessary to guarantee existence of an equilibrium. Moreover, a generalized existence result is formulated which includes investors who in equilibrium may not invest in risky assets and a simple condition ensuring positive equilibrium asset prices is given.     

An alternative measure of the “world market portfolio”: Determinants, efficiency, and information content

The world market portfolio plays an important role in international asset pricing, but is unobservable in practice. We first propose a framework for constructing a market proxy that corresponds to the “market portfolio” of financial theory. We then construct this proxy, analyze its determinants and test its efficiency and explanatory power over the period 1975-2007 with respect to the return generating processes of a broad asset universe. We show that its major determinants are traded assets and that it is not efficient. However, it is significant for explaining individual asset returns over an asset universe that includes stocks, bonds, money markets and commodities. The explanatory information is incremental to what is available in traded asset prices and the significance of this information is robust with respect to diversified portfolios generated by factor analysis and to characteristic-sorted portfolios as well as to various model specifications, including the single-index model, the Fama-French (1992) three factor model for stocks, and various specifications of multi-index models hedged and unhedged for foreign currency risk.     

Investment Horizon Effects

Abstract:   Boudry and Gray (2003) have documented that the optimal buy‐and‐hold demand for Australian stocks is not necessarily increasing in the investment horizon when returns are predictable. Such finding is in contrast with Barberis (2000) who shows that positive monotonic horizon effects predominate for US stocks. Using a closed‐form approximation to the asset allocation problem, this paper relates the return dynamics to the investor's portfolio choice for different investment horizons. In the special case of a single risky asset, it is shown that return predictability under stationarity may induce both positive and negative horizon effects in the optimal allocation to the risky asset. The paper extends previous empirical results by solving for the optimal portfolio when two risky assets with predictable returns are available for investment.     

Short-selling constraints as cause for price distortions: An experimental study

In this paper we explore the influence of the possibility to short stocks and/or borrow money in laboratory markets. A key innovation of our study is that subjects can simultaneously trade two risky assets on two double-auction markets, allowing us to differentiate between assets with relatively high versus low capitalization. Divergence of opinions is created by providing each trader with noisy information on the intrinsic values of both assets. We find that when borrowing money or shorting stocks is restricted prices are systematically distorted. Specifically, stocks with high (low) capitalization are traded at lower (higher) prices than their fundamental value. Lifting the restrictions leads to more efficient prices and more liquidity, thereby also lowering volatility and bid-ask spreads.