The Asymmetric Wealth Effect in the US Housing and Stock Markets: Evidence from the Threshold Cointegration Model

Previous studies commonly use a linear framework to investigate the long-run equilibrium relationship between the housing and stock markets. The linear approaches may not be appropriate if adjustments from disequilibrium are asymmetric in both markets. Nonlinear adjustments are likely to be observed since the two markets respond rather differently to negative shocks where the stock market is more volatile but price rigidity is found in the housing market. In this paper, we firstly propose two hypotheses on the long-run equilibrium relationship of the US housing and stock markets, and then employ the threshold cointegration model to investigate the potential asymmetric relationships between the two markets. Our empirical results reveal that cointegration exists among the markets, but adjustments toward its long-run equilibrium are asymmetric. Further evidence points out that a rapid mean reversion occurs in one regime where the stock price outperforms the housing price, and no significant reversion is found in the other regime, supporting the hypothesis of the existence of an asymmetric wealth effect among the two markets in the US. Furthermore, evidence from the asymmetric vector error correction model shows that significant error corrections toward the equilibrium exist in the short run only when the stock price exceeds the real estate price by the estimated threshold level, reassuring the finding of the asymmetric wealth effect.     

Noise and aggregation of information in large markets

We study the relation between noise (liquidity traders, endowment shocks) and the aggregation of information in financial markets with large number of agents. We show that as long as noise increases with the number of agents, the limiting equilibrium is well-defined and leads to non-trivial information acquisition, even when per-capita noise tends to zero. In such equilibrium risk sharing and price revelation play different roles than in the standard limiting economy in which per-capita noise is finite. We apply our model to study information sales by a monopolist, and information acquisition in multi-asset markets, showing that it leads to qualitatively different results with respect to those in the existing literature. Our conditions on noise are shown to be necessary and sufficient to have limiting economies with perfectly competitive behavior consistent with endogenous information acquisition.     

中国利率市场的价格发现——对国债现货、期货以及利率互换市场的研究

本文采用信息份额模型和基于向量自回归(VAR)模型的格兰杰因果检验,研究了国债现货、国债期货和利率互换三个市场之间的价格发现机制。信息份额模型表明,从整体来看利率互换相对于国债期货和国债现货都具有信息优势,而国债期货相对于国债现货具有信息优势。另外,国债期货的价格发现能力相对于另外两个市场都在随时间增强。格兰杰因果检验结果显示,利率互换在价格发现中单向引领国债期货以及国债现货,国债期货单向引领国债现货。所有结果一致表明, 利率互换和国债期货这两种利率衍生产品在引导中国利率市场价格发现中发挥了重要作用。     

Asset market equilibrium with liquidity risk

This paper derives an equilibrium asset pricing model with endogenous liquidity risk. Liquidity risk is modeled as a stochastic quantity impact on the price from trading, where the size of the impact depends on trade size. Under a strong set of assumptions, we prove that a unique equilibrium liquidity cost process and a unique equilibrium price process exists for our economy. We characterize the market’s state price density, which enables the derivation of the risk-return relation for the stock’s expected return including liquidity risk. We derive a generalized intertemporal CAPM and consumption CAPM for these markets. In contrast to the traditional models without liquidity risk, there is an additional systematic liquidity risk factor which is related to the stock return’s covariation with the market’s stochastic liquidity cost. Traditional transaction costs are a special case of our formulation.     

信息不对称、过度自信与股价变动

信息传导的非同步和投资者情绪变化是股票市场的两个典型特征,前者会引发投资者之间出现信息不对称问题,后者主要体现为投资者过度自信,两者共同作用影响股票价格变动。本文将信息不对称和投资者过度自信情绪置于同一个分析框架,建立两阶段动态序贯定价理论模型研究现实市场上信息传导过程中股价变动的内在机制。结果表明:(1)面临新信息的进入,投资者对股票收益预期的调整与均衡价格之间具有正相关关系;(2)面临有利消息时,过度自信投资者比例越大,股票的均衡价格越高,投资收益将越低;面临不利消息时则相反;(3)随着过度自信投资者比例以及过度自信程度升高,市场风险溢价将下降;(4)投资者群体在信息传导过程中出现分化,对股价变动形成异质信念,未获取信息和获取信息但未出现过度自信的投资者认为股价被高估,获取信息且出现过度自信的投资者认为价格被低估,促使更多的交易,引发市场成交量和股价变动;(5)过度自信投资者比例与过度自信程度提高均会对市场效率产生正向影响,而对市场深度具有负向效应。最后,基于理论结果对非对称性和持续性等典型的市场波动性特征进行解释。     

Nonstationarity of efficient finance markets: FX market evolution from stability to instability

Real financial markets are uncertain on the shortest trading time scales, therefore trading translates into noise. We discuss the pair correlations of detrended returns necessary to understand financial markets. Efficient markets and equilibrium markets generate conflicting pair correlations. B. Eichengreen [B. Eichengreen, Globalizing Capital,: A History of the International Monetary System, Princeton, Princeton, 1998] argues that FX speculation was stabilizing before WWI. In contrast, our recent empirical analysis shows that we can model FX markets in our present era as nonstationary/unstable and efficient (meaning hard or impossible to beat). We can model pre-WWI non-efficient equilibrium FX dynamics from a closely related theoretical standpoint. Our main points are that deregulated markets are described by a nonstationary process with uncorrelated, nonstationary increments, and that a stationary market (equilibrium market) is mutually exclusive with an unregulated, efficient market. In short, stability and deregulation are mutually exclusive ideas. We review a simple, empirically deduced model of the unstable diffusive nature of volatile FX market dynamics. All information of interest is encoded in the variable diffusion coefficient defining the observed martingale process.     

Auctions with selective entry and risk averse bidders: theory and evidence

We study auctions with selective entry and risk averse bidders. Our model accounts for risk averse bidders' endogenous participation decision and thus encompasses the existing entry models. We establish entry and bidding equilibrium in first‐price auction and ascending auction mechanisms and show that bidders' entry behavior differs between these two mechanisms with different forms of risk aversion. Our approach provides testable implications of risk aversion in terms of entry behavior. We analyze a timber auction data set and propose a simple test for the form of bidders' risk aversion based on our model implications.     

A fundamental theory of exchange rates and direct currency trades

In this paper we construct a two-country search model to determine the nominal exchange rate between two fiat monies. Our model allows agents to use any currency to trade for goods in all countries. However, search frictions restrict agents’ opportunities for instantaneous arbitrage, and hence make the nominal exchange rate determinate. The nominal exchange rate depends on the two countries’ economic fundamentals, including the stocks and growth rates of the two monies. Direct exchanges between currencies are essential and they imply a nominal exchange rate that is different from the relative price between the two currencies in the goods markets. There are persistent violations of the law of one price and purchasing power parity in equilibrium, despite the fact that prices are perfectly flexible and all goods are tradeable between countries. Nominal and real exchange rates can move together in the steady state in response to money growth shocks.     

International reserves for emerging economies: A liquidity approach

The massive stocks of foreign exchange reserves, mostly held in the form of U.S. T-bonds by emerging economies, are still an important puzzle. Why do emerging economies continue to willingly loan to the United States despite the low rates of return? We suggest that a dynamic general equilibrium model incorporating international capital markets, characterized by decentralized trade and U.S. T-bonds as facilitators of trade, can provide one possible resolution to this question. Declining financial frictions in these over-the-counter (OTC) markets would generate rising liquidity premium on U.S. T-bonds, thereby causing low U.S. real interest rates. Meanwhile, the superior liquidity properties of the U.S. T-bonds would induce recipients of foreign investments, namely emerging economies, to hold more liquidity, that is U.S. T-bonds, in equilibrium. The prediction of our model is confirmed by an empirical simultaneous equations approach considering an endogenous relationship between OTC capital inflows and reserve holdings.     

Breakeven Determination of Loan Limits for Reverse Mortgages under Information Asymmetry

Since the loan limit of a reverse mortgage is a major concern for the borrower as well as the lender, this paper attempts to develop an option-based model to evaluate the loan limits of reverse mortgages. Our model can identify several crucial determinants for reverse mortgage loan limits, such as initial housing price, expected housing price growth, house price volatility, mortality distribution, and interest rates. We also pay special attention to the important implication of mortgage lenders’ informational advantage over reverse mortgage borrowers concerning housing market risk. In reverse mortgage markets, the elderly borrowers typically hold far less, relative to the lenders, or no information about the lenders’ underlying mortgage pools. Such information asymmetry leads these two categories of market participants to generate different perspectives on the risk of the collateralized properties, which can be identified to be important in determining the maximum loan amounts of reverse mortgages. We further find that the maximum loan amount of a reverse mortgage decreases in the correlation between the returns on the pooled underlying housing properties but increases with the number of the pooled mortgages.     

美国黄金期货与黄金现货互动关系的实证研究

文章通过建立误差修正模型（ Error Correction ModeL,ECM）和基于持有成本理论的误差修正模型（ Error Correction ModeL Cost of Carry,ECM-CoC）,对美国黄金市场的期货与现货市场在金融危机前后的互动关系进行了实证分析。结果表明：在2007年金融危机前美国黄金期货市场引导黄金现货市场,期货市场的价格发现功能得以实现;在金融风暴后美国黄金现货和期货市场存在双向引导关系;美国黄金期货市场和现货市场之间存在长期均衡关系,期货市场和现货市场均存在误差修正机制,美国现货市场价格恢复均衡的调整速度高于黄金期货市场。     

Price discovery of credit spreads in tranquil and crisis periods

In this paper we investigate the price discovery process in single-name credit spreads obtained from bond, credit default swap (CDS), equity and equity option prices. We analyse short term price discovery by modelling daily changes in credit spreads in the four markets with a vector autoregressive model (VAR). We also look at price discovery in the long run with a vector error correction model (VECM). We find that in the short term the option market clearly leads the other markets in the sub-prime crisis (2007–2009). During the less severe sovereign debt crisis (2009–2012) and the pre-crisis period, options are still important but CDSs become more prominent. In the long run, deviations from the equilibrium relationship with the option market still lead to adjustments in the credit spreads observed or implied from other markets. However, options no longer dominate price discovery in any of the periods considered. Our findings have implications for traders, credit risk managers and financial regulators.     

Informational Frictions and Commodity Markets

This paper develops a model with a tractable log‐linear equilibrium to analyze the effects of informational frictions in commodity markets. By aggregating dispersed information about the strength of the global economy among goods producers whose production has complementarity, commodity prices serve as price signals to guide producers' production decisions and commodity demand. Our model highlights important feedback effects of informational noise originating from supply shocks and futures market trading on commodity demand and spot prices. Our analysis illustrates the weakness common in empirical studies on commodity markets of assuming that different types of shocks are publicly observable to market participants.     

Trading Frictions and House Price Dynamics

We model liquidity in housing markets. The model provides a simple characterization for the joint process of prices, sales, and inventory. We compare the implications of the model to certain properties of housing markets. The model can generate the large price changes and the positive correlation between prices and sales that we see in the data. Unlike the data, prices are negatively autocorrelated and high inventory predicts price appreciation. We investigate several amendments to the model. Informational frictions show promise.     

A new paradigm for forecasting security returns in a market regulated by price limits

Numerous futures markets in the US and many stock markets around the world set a “limit” price before each trading session, based on the settlement price at the end of the previous trading day. Price limits are boundaries set by market regulators to restrict large daily fluctuations in the price of securities. Once the return limit is triggered, traders cannot observe the equilibrium return that would have prevailed in the absence of such regulation. We develop an innovative approach for forecasting security returns (and prices) in a market regulated by price limits. Our forecasting model allows for multiple limit-hits. The model is robust, straightforward and easy for practitioners to use. A few numerical predictions are provided for hypothetical securities, and for seven traded futures contracts.     

The equilibrium effect of fundamentals on house prices and rents

Using a dynamic equilibrium model of housing tenure choice with fully specified markets for homeownership and rental properties, and endogenous house prices and rents, this paper studies the effect of fundamentals on equilibrium house prices and rents. Lower interest rates, relaxed lending standards, and higher incomes are shown to account for approximately one-half of the increase in the U.S. house price–rent ratio between 1995 and 2006, and to generate the pattern of rapidly growing house prices, sluggish rents, increasing homeownership, and rising household indebtedness observed in the data.     

Is globalization a road to duopoly?

In global markets, the market shares of the two or three biggest firms sum up more than 90 percent and firms do marketing efforts. However, the classical neo-walrasiano theoretical framework only is able to justify these stylized facts with particular firms’ cost structures, being one reason the presumption that there are no information costs. Towards the rationalization of those stylized facts, I study the evolution of the market structure in a model of price advertising with a variable that controls the degree of openness of regional markets. The main result of the model is that in equilibrium the structure of a global market is the duopoly.     

Underpricing of seasoned issues

In this paper we provide a model of the underwritten offerings of new shares of seasoned securities. Our purpose is to explain why the offering price chosen by the underwriter is lower than the market price of the firm's shares. Our model recognizes the interdependence between the markets surrounding the announcement and sale of the new issue and recognizes as well the effect which asymmetric information regarding investor demands has upon the prices in these markets.     

Modelling the joint behaviour of electricity prices in interconnected markets

The liberalization of energy markets worldwide during recent decades has introduced severe implications for the price formation in these markets. Especially within the European day-ahead electricity markets, increased physical connections between different market areas and a joint effort on optimizing the aggregate social welfare have led to highly connected markets. Consequently, observing the exact same hourly day-ahead prices for two or more interconnected electricity markets in Europe happens frequently. This affects the modelling of such prices and in turn the valuation of derivatives written on prices from these market areas. In this paper, we propose a joint model for day-ahead electricity prices in interconnected markets composed of a combination of transformed Ornstein–Uhlenbeck processes. We discuss the properties of the model and propose an estimation procedure based on filtering techniques. Furthermore, the properties of the model reveal that analytical prices are attainable for, e.g., forwards and spread options.     

投资者理性预期、流动性约束与股价崩盘传染研究

“传染性”是股价崩盘三大基本特征之一,会加剧股价崩盘负面影响,甚至引发系统性金融风险,因此,本文重点关注股价崩盘传染机制研究。首先,本文基于两阶段理性预期均衡模型,提出股价崩盘传染两大假设,即投资者理性预期与流动性约束导致传染;其次,基于2000-2016年全球28个国家或地区资本市场数据,实证检验股价崩盘传染机制和传染渠道。研究显示:(1)投资者理性预期、流动性约束会导致股价崩盘发生传染;(2)股价崩盘事件会在资本市场关联国家或地区传染;(3)提高资本市场信息透明度、加强金融管制有助于降低受关联国家或地区股价崩盘传染。