DEFAULT AND SYSTEMIC RISK IN EQUILIBRIUM

We develop a finite horizon continuous time market model, where risk‐averse investors maximize utility from terminal wealth by dynamically investing in a risk‐free money market account, a stock, and a defaultable bond, whose prices are determined via equilibrium. We analyze the endogenous interaction arising between the stock and the defaultable bond via the interplay between equilibrium behavior of investors, risk preferences and cyclicality properties of the default intensity. We find that the equilibrium price of the stock experiences a jump at default, despite that the default event has no causal impact on the underlying economic fundamentals. We characterize the direction of the jump in terms of a relation between investor preferences and the cyclicality properties of the default intensity. We conduct a similar analysis for the market price of risk and for the investor wealth process, and determine how heterogeneity of preferences affects the exposure to default carried by different investors.     

DO ARBITRAGE‐FREE PRICES COME FROM UTILITY MAXIMIZATION?

In this paper we ask whether, given a stock market and an illiquid derivative, there exists arbitrage‐free prices at which a utility‐maximizing agent would always want to buy the derivative, irrespectively of his own initial endowment of derivatives and cash. We prove that this is false for any given investor if one considers all initial endowments with finite utility, and that it can instead be true if one restricts to the endowments in the interior. We show, however, how the endowments on the boundary can give rise to very odd phenomena; for example, an investor with such an endowment would choose not to trade in the derivative even at prices arbitrarily close to some arbitrage price.     

PRICING FOR LARGE POSITIONS IN CONTINGENT CLAIMS

Approximations to utility indifference prices are provided for a contingent claim in the large position size limit. Results are valid for general utility functions on the real line and semi‐martingale models. It is shown that as the position size approaches infinity, the utility function's decay rate for large negative wealths is the primary driver of prices. For utilities with exponential decay, one may price like an exponential investor. For utilities with a power decay, one may price like a power investor after a suitable adjustment to the rate at which the position size becomes large. In a sizable class of diffusion models, limiting indifference prices are explicitly computed for an exponential investor. Furthermore, the large claim limit arises endogenously as the hedging error for the claim vanishes.     

Noise Trader Model of Agricultural Product Prices： Evidence from the Chinese Garlic Market

This paper explores the determinants of the abnormal and volatile fluctuations of China＇s agricultural product prices in recent years by examining the trading behavior of traders, especially that of irrational noise traders. We present an overlapping generations model of the garlic market in which noise traders with erroneous beliefs influence prices. Noise traders＇ beliefs create a risk in the price of agricultural products that deters rational arbitrageurs from aggressively betting against them through changing supplies in a way that enables prices to diverge significantly from fundamental values even in the absence of fundamental risk. We also show that asymmetry of supply information, low price elasticity of demand, speculative capital inflows, restricted distribution channels, distorted wholesale markets from the perspective of market mechanisms and low risk aversion, biased self-attribution, and projection bias from the perspective of investor psychology, all influence expectations of investors and increase the volatility of agricultural product prices.     

UTILITY MAXIMIZATION IN AN INSIDER INFLUENCED MARKET

We study a controlled stochastic system whose state is described by a stochastic differential equation with anticipating coefficients. This setting is used to model markets where insiders have some influence on the dynamics of prices. We give a characterization theorem for the optimal logarithmic portfolio of an investor with a different information flow from that of the insider. We provide explicit results in the partial information case that we extend in order to incorporate the enlargement of filtration techniques for markets with insiders. Finally, we consider a market with an insider who influences the drift of the underlying price asset process. This example gives a situation where it makes a difference for a small agent to acknowledge the existence of an insider in the market.     

Does investor recognition matter for asset pricing?

In a world of market imperfections, what matters for asset prices differs from theory predictions based on perfect markets and information. In this paper, using a market setting where information costs are more pronounced, I show that the level of investor recognition/awareness matters for asset prices as predicted by Merton (1987). Using a novel dataset, I study the price effects of inclusions to and exclusions from a benchmark equity index in the context of emerging market assets. While testing for a number of existing hypotheses, I am able to document evidence for the ‘investor recognition’ hypothesis, using event study methodology. Furthermore, by making use of analysts' recommendations data, I show that there is a significant increase in coverage for the included stocks. This is also significantly related to the observed price change.     

The Business Cycle and Profitability of Trading Strategies

Recent studies show that investor participation in the stock market rises during economic expansion and drops in economic recession. When investor participation is high, investors’ cognitive and behavioral biases are likely to have a strong influence on stock prices. We consider four trading strategies that are based on well-known market anomalies and examine their profitability under different economic conditions. For all four strategies, the portfolios that are formed in the months when the economy is expanding obtain significant profits, whereas the portfolios formed in economic recession months are not profitable. This finding is robust to different ways of classifying recession months.     

Optimal investment and pricing in the presence of defaults

We consider the optimal investment problem with random endowment in the presence of defaults. For an investor with constant absolute risk aversion, we identify the certainty equivalent, and compute prices for defaultable bonds and dynamic protection against default. This latter price is interpreted as the premium for a contingent credit default swap, and connects our work with earlier articles, where the investor is protected upon default. We consider a multiple risky asset model with a single default time, at which point each of the assets may jump in price. Investment opportunities are driven by a diffusion X taking values in an arbitrary region . We allow for stochastic volatility, correlation, and recovery; unbounded random endowments; and postdefault trading. We identify the certainty equivalent with a semilinear parabolic partial differential equation with quadratic growth in both function and gradient. Under minimal integrability assumptions, we show that the certainty equivalent is a classical solution. Numerical examples highlight the relationship between the factor process, market dynamics, utility‐based prices, and default insurance premium. In particular, we show that the holder of a defaultable bond has a strong incentive to short the underlying stock, even for very low default intensities.     

Investor behavior and volatility of futures market: A theory and empirical study based on the OLG model

Investor trading behaviors are always an important issue in behavioral finance and market supervision. This study examines the relationship between investor behavior and future market volatility. We first introduce a two-period OLG model into the futures market, and develop an investor behavior model based on future contract price. We then extend the model to two scenarios: complete and incomplete information. We provide the equilibrium solution, and develop two hypotheses, which are tested with cuprum tick data in Shanghai Futures Exchange (SHFE). Empirical results show that the two-period OLG model for future market is consistent with the market situation in China. More specifically, investors with sufficient information such as institutional investors usually adopt the contrarian trading strategy, whereas investors with insufficient information, e.g., individual investors, usually adopt the momentum trading strategy. These findings reveal that investor behaviors in the Chinese futures market are different from those of in the Chinese stock market.     

Optimal investment,derivative demand,and arbitrage under price impact

This paper studies the optimal investment problem with random endowment in an inventory‐based price impact model with competitive market makers. Our goal is to analyze how price impact affects optimal policies, as well as both pricing rules and demand schedules for contingent claims. For exponential market makers preferences, we establish two effects due to price impact: constrained trading and nonlinear hedging costs. To the former, wealth processes in the impact model are identified with those in a model without impact, but with constrained trading, where the (random) constraint set is generically neither closed nor convex. Regarding hedging, nonlinear hedging costs motivate the study of arbitrage free prices for the claim. We provide three such notions, which coincide in the frictionless case, but which dramatically differ in the presence of price impact. Additionally, we show arbitrage opportunities, should they arise from claim prices, can be exploited only for limited position sizes, and may be ignored if outweighed by hedging considerations. We also show that arbitrage‐inducing prices may arise endogenously in equilibrium, and that equilibrium positions are inversely proportional to the market makers' representative risk aversion. Therefore, large positions endogenously arise in the limit of either market maker risk neutrality, or a large number of market makers.     

A MODEL OF OPTIMAL CONSUMPTION UNDER LIQUIDITY RISK WITH RANDOM TRADING TIMES

We consider a portfolio/consumption choice problem in a market model with liquidity risk. The main feature is that the investor can trade and observe stock prices only at exogenous Poisson arrival times. He may also consume continuously from his cash holdings, and his goal is to maximize his expected utility from consumption. This is a mixed discrete/continuous stochastic control problem, non‐standard in the literature. The dynamic programming principle leads to a coupled system of Integro‐Differential Equations (IDE), and we provide a convergent numerical algorithm for the resolution to this coupled system of IDE. Several numerical experiments illustrate the impact of the restricted liquidity trading opportunities, and we measure in particular the utility loss with respect to the classical Merton consumption problem.     

The Value of Imputation Tax Credits on Australian Hybrid Securities

Hybrid securities are becoming an increasingly important component of the capital structure of Australian firms. While displaying characteristics of both debt and equity, one principal equity attribute of hybrids is their ability to pay franked dividends. This enables resident domestic investors to claim corporate tax payments as a credit against personal tax obligations under Australia's dividend imputation tax system. This paper estimates a value for the ‘franking credits’ that attach to hybrid securities by examining stock price changes around ex‐dividend dates. We add to the literature that examines the ex‐day price changes of ordinary shares (OS) in that the hybrid securities we examine have high dividend yields and are relatively insensitive to market movements. Therefore the signal‐to‐noise ratio is much higher than for OS. Our analysis reveals that cum‐dividend day prices on hybrid securities do not include any value for franking credits. This result is consistent with the notion that the price‐setting investor in the Australian market is a foreign investor who places no value on franking credits.     

Consistency of option prices under bid–ask spreads

Given a finite set of European call option prices on a single underlying, we want to know when there is a market model that is consistent with these prices. In contrast to previous studies, we allow models where the underlying trades at a bid–ask spread. The main question then is how large (in terms of a deterministic bound) this spread must be to explain the given prices. We fully solve this problem in the case of a single maturity, and give several partial results for multiple maturities. For the latter, our main mathematical tool is a recent result on approximation by peacocks.     

Exchange‐rate Misalignments in Duopoly: The Case of Airbus and Boeing

We examine the effect of exchange‐rate misalignments on competition in the market for large commercial aircraft. This market is a duopoly where players compete in dollar‐denominated prices while one of them, Airbus, incurs a large fraction of its costs in euro. We estimate price elasticities for big aircraft, and construct a simulation model to investigate how companies adjust their prices to deal with the effects of a temporary misalignment and how this affects profit margins and volumes. We conclude that, due to the duopolistic nature of the aircraft market, Airbus will pass only a small part of the exchange‐rate fluctuations on to customers. Moreover, due to features specific to the aircraft industry, such as customer switching costs and learning‐by‐doing, even a temporary departure of the exchange rate from its long‐run equilibrium level may have permanent effects on the industry.     

基于投资者情绪的定向增发折扣信号博弈模型研究

定向增发是股权再融资手段之一,具有成本低、程序灵活等特点,但许多定增股份的长期市场表现却差强人意。大量统计研究表明,投资者的盲目乐观是定增股份长期市场表现差的主因。针对投资者情绪演化机制,本文将定增投资者积极表现和消极表现设定为信号,将高、低发行折扣率设定为定增企业策略,构建了基于投资者情绪的投资者和定增企业信号博弈模型,通过分析四种贝叶斯Nash均衡路径及企业商誉收益,推论出了投资者情绪的演化机理。研究发现:积极表现并不意味着投资者属于高情绪型,也可能是定增资格驱动下的积极伪装;在高期望商誉收益影响下,定增企业倾向给予高发行折扣率,不再关注投资者情绪类型;定增企业对长期商誉的轻视是金融异象的主要成因,并可能扰乱投资者整体情绪,对定增市场产生较大负面影响。     

The capital market spillover effect of product market advertising: Evidence from stock price synchronicity

We analyze whether product market advertising has a spillover effect on stock price synchronicity by transmitting firm-specific information to the capital market and attracting more investor attention. Using a sample of Chinese listed firms from 2009 to 2017, we find that firms with greater advertising expenditures have lower stock price synchronicity. The results are robust after we address endogeneity concerns. In accord with our hypothesis that product market advertising increases the amount of firm-level information capitalized into stock prices through the information channel, we find that the impact of advertising on synchronicity is more pronounced for firms with a higher degree of information asymmetry and firms in the consumer-product industry. Further tests show that product market advertising enhances the ability of current period returns to reflect future earnings, and thus rules out that the negative relationship between advertising and synchronicity is driven by noise trading. Our results imply that product market advertising plays an informative role and improves information efficiency in a capital market.     

Option implied cost of equity and its properties

The estimation of the cost of equity capital (COE) is one of the most important tasks in financial management. Existing approaches compute the COE using historical data, i.e. they are backward‐looking methods. This study derives a method to calculate forward‐looking estimates of the COE using the current market prices of stocks and stock options. Our estimates of the COE reflect the expectation of the market investors about the COE during the life of the investment project. We test empirically our method and compare it with the Fama/French (1993) three‐factor model for the S&P 100 firms. The empirical results indicate that our COE estimates (1) are plausible and stable over the years as required by appropriate discount rates for capital budgeting, (2) yield an equity risk premium close to the market equity risk premium reported by Fama E. F. and French K. R. (2002), (3) generate strong return‐risk relationships, and (4) are significantly related with investor sentiment. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 29: 599–629, 2009     

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     

E-book pricing and vertical restraints

This paper empirically analyzes how the use of vertical price restraints has impacted retail prices in the market for e-books. In 2010, five of the six largest publishers simultaneously adopted the agency model of book sales, allowing them to directly set retail prices. This led the Department of Justice to file suit against the publishers in 2012, the settlement of which prevents the publishers from interfering with retailers’ ability to set e-book prices. Using a unique dataset of daily e-book prices for a large sample of books across major online retailers, we exploit cross-publisher variation in the timing of the return to the wholesale model to estimate its effect on retail prices. We find that e-book prices for titles that were previously sold using the agency model decreased by 18 percent at Amazon and 8 percent at Barnes & Noble. Our results are robust to different specifications, placebo tests, and synthetic control groups. Our findings illustrate a case where upstream firms prefer to set higher retail prices than retailers and help to clarify conflicting theoretical predictions on agency versus wholesale models.