Index Revision,House Price Risk,and the Market for House Price Derivatives

It is widely recognized that options and futures markets for housing can reduce and manage the risks inherent in consumers’ large investments in housing equity. The integrity of such markets depends, however, upon the use of transparent and replicable benchmarks for house prices and settlement values. In the USA, a series of state and metropolitan indexes have been produced by a government agency (the US Office of Housing Enterprise Oversight, OFHEO), and they have been widely disseminated for over a decade. By construction, the entire historical path of each of these indexes is, in principle, subject to revision quarterly, that is, every time the index is recalculated and data are published. This paper provides the first analysis of the magnitude and bias of these revisions, and it analyzes their systematic effects on the settlement prices in housing options markets. The paper considers the implications of these magnitudes for the development of risk-reducing futures markets.

Regulatory Capital Arbitrage and the Potential Competitive Impact of Basel II in the Market for Residential Mortgages

U.S. banking regulators have proposed a bifurcated system of capital regulation where the largest, internationally active banking organizations would be subject to significantly more risk sensitive regulatory capital requirements than are currently in place, while most others would remain subject to the current rules. The proposed new capital regime has the potential to affect the competitive landscape among banking institutions, particularly in the area of residential mortgage lending. We analyze the potential competitive effects of the proposed, bifurcated regulatory capital system on competition in the residential mortgage market from the perspective of the theory of regulatory capital arbitrage. We then apply the theory and available evidence to perform some benchmark calculations that suggest a significant, potential shift of market share and income to the largest banking institutions in the mortgage market.

Can interest rates really control house prices? Effectiveness and implications for macroprudential policy

This paper investigates how changes in the central bank policy and retail mortgage rates affected real housing prices in New Zealand during the period 1999–2009. We find that real interest rates are significantly and positively related to real housing prices, indicating that increases in the policy rate may not be effective in depressing real housing prices. By testing interest rates, we also find some evidence of housing price bubbles. Our findings suggest that the central bank could have limited housing price bubbles if it had started to intervene in the housing market prior to 2003. Our results set international exemplars for using policy rates or macroprudential tools to cool the housing market, where the extent of policy rate adjustments is limited by internal or external economic factors.     

Wimp or tough guy: Sequential default risk and signaling with mortgages

When analyzing what to do with a currently defaulted loan, the lender must consider the impact of his foreclosure versus workout decision on the expected payoff of subsequent loans as well as on the payoff of the current loan. This is because borrowers with future loan payoff dates can observe the lender's actions and update prior information regarding the lender's toughness or wimpiness when dealing with defaulted loans. In this paper we consider the strategic interaction between a lender and multiple borrowers, where borrowers have distinct, sequentially maturing mortgage loans and where the lender has private information regarding the magnitude of his foreclosure costs. We find that a variety of strategic outcomes can occur that explain the co-existence of workout and foreclosure in the mortgage marketplace. In general, the lender's workout/foreclosure response depends on the cost of bluffing (e.g., foreclosing when workout is cheaper) versus the value of reducing expected defaults and workout concession losses on future loans (e.g., imperfect foreclosure cost information leads future borrowers to payoff the mortgage when default would have been optimal under perfect information). Given recently revised expectations regarding the depth of the real estate recession, our results may explain the move by many lenders away from granting workout concessions and toward taking a harder line when dealing with defaulting borrowers.     

The ins and outs of mortgage debt during the housing boom and bust

From 1999 to 2013, U.S. mortgage debt doubled before contracting sharply. I estimate mortgage inflows and outflows that shed light on the sources of volatility. During the boom, inflows from real estate investors tripled, far outpacing other segments such as first-time homebuyers. During the bust, a collapse in inflows keyed the debt decline, while an expansion of outflows due to defaults played a more minor role. Inflow declines partly reflect a dramatic falloff in first-time homebuying, especially for low credit score individuals. Further analysis helps support the notion that the differential decline by credit score reflects markedly tightened credit supply.     

Margins and Price Limits in Taiwan's Stock Index Futures Market

This study extends the framework of Brennan (1986) to find the cost-minimizing combination of spot limits, futures limits, and margins for stock and index futures in the Taiwan market. Our empirical results show that the cost-minimization combination of margins, spot price limits, and futures price limits is 7 percent, 6 percent, and 6 percent, respectively, when the index level is less than 7,000. When the index level ranges from 7,000 to 9,000, the efficient futures contract calls for a combination of 6.5 percent, 5 percent, and 6 percent. The optimal margin, reneging probability, and corresponding contract cost are less than those without price limits. Price limits may partially substitute for margin requirements in ensuring contract performance, with a default risk lower than the 0.3 percent rate that is accepted by the Taiwan Futures Exchange. On the other hand, though imposing equal price limits of 7 percent on both the spot and futures markets does not coincide with the efficient contract design, it does have a lower contract cost and margin requirement (7.75 percent) than that without imposing price limits (8.25 percent).     

List price signaling and buyer behavior in the housing market

To determine whether list price contains useful information for anticipating trends in eventual transactions prices, we develop a model of buyer behavior from a search-theoretic perspective. Using data from the Baton Rouge, Louisiana, housing market between 1985 and 1992, we estimate separate price indexes with list price and selling price as the respective dependent variables in the hedonic regressions. Consistent with our theory, we find that the list price may lead the market when functioning as a signal of seller intent, but list price will probably lag a market driven by buyer willingness to purchase. Granger causality tests conducted on quarterly data for the eight-year study support listing price as a leading indicator of selling price. However, an examination of the indexes around the period of market reversal suggest otherwise. Indeed, listing prices appear to contain the least useful information at the times when information would be most valuable: at the peaks and troughs of the market cycle.     

Credit History and the Performance of Prime and Nonprime Mortgages

Although nonprime lending has experienced steady or even explosive growth over the last decade very little is known about the performance characteristics of these mortgages. Using data from national secondary market institutions, this paper estimates a competing risks proportional hazard model, which includes unobserved heterogeneity. The analysis examines the performance of 30-year fixed rate owner occupied home purchase mortgages from February 1995 to the end of 1999 and compares nonprime and prime loan default and prepayment behavior. Nonprime loans are identified by mortgage interest rates that are substantially higher than the prevailing prime rate. Results indicate that nonprime mortgages differ significantly from prime mortgages: they have different risk characteristics at origination; they default at elevated levels; and they respond differently to the incentives to prepay and default. For instance, nonprime mortgages are less responsive to how much the option to call the mortgage or refinance is in the money and this effect is magnified for mortgages with low credit scores. Tests also reveal that default rates are less responsive to homeowner equity when credit scores are included in the specification.     

The good,the bad and the impaired: A credit risk model of the Irish mortgage market

Using a uniquely constructed loan-level dataset of the residential mortgage book of Irish financial institutions, this paper provides a framework for estimating default probabilities of individual mortgages. In contrast to the popular stock delinquency approach, this model provides estimates of default and cure flows: a requirement of the stress test approach adopted by the European Central Bank's comprehensive assessment. In addition, both default and cure transitions are modelled as functions of micro- and macro-covariates including loan characteristics and current macroeconomic conditions such as house prices and unemployment. When comparing the competing equity and affordability effects, labour market deterioration played a stronger role than house equity in the rise of Irish default rates. For cures, a scarring effect of default is identified and estimated with the probability of a loan returning to performing reducing by almost four per cent each month a loan remains delinquent.     

美国牲畜价格指数保险的经验及局限性

美国的牲畜价格指数保险是世界上最早产生且保险方案相对比较完善的农产品价格保险,它是美国将作物收入保险的经验向畜牧业延伸的结果。通过保险方案的设计和再保险安排,美国牲畜价格指数保险在解决农业价格保险可行性问题上取得了一定效果。相对于期货与期权工具,美国牲畜价格指数保险具有准入门槛和交易成本更低等优势,但也存在操作不够灵活等劣势,总体而言,更适合美国的中小规模生产者,而对大规模生产者吸引力较弱;且与期货与期权工具类似,美国牲畜价格指数保险只能提供年度内的价格风险保障,无法如美国的农产品计划项目那样提供跨年度的价格风险保障。从运行结果来看,美国的牲畜价格指数保险的承保规模较小,且没有发展成为美国占主导地位的价格风险管理工具的趋势。美国牲畜价格指数保险的经验及局限性对中国具有如下启示:错开农产品价格保险的承保期间;建立农产品价格保险再保险制度;探索多种政策可能性管理农产品价格风险。     

Implied Default Probability and Credit Derivatives

Recently many kinds of credit derivatives are traded in the market. The default probability implied in the market becomes important to price some credit derivatives. Also it is useful for managing the credit risk because it includes the market information. In this paper we show how to calculate the implied default probability in the default swap market or the defaultable bond market.This paper is developed from author’s master thesis (Matsumoto, 2000), Graduate School of Systems Management, the University of Tsukuba.     

次贷危机、信息不对称和指数交易

次贷危机源于房价上涨停滞后的次贷及其衍生品市场的快速萎缩,信息不对称在危机爆发前风险累积阶段和危机后市场过度反应阶段都是关键因素.次贷及其衍生产品设计繁复且对房价系统性下跌高度敏感,次贷的衍生产品多在场外市场交易使得危机前相关信息未被充分披露.随着指数交易的陆续推出,如基于次债的ABX.HE指数和CME的房地产价格指数期货期权合约,使房价、次贷及其衍生产品的概括性信息得以揭示,基于信息不对称因素的恐慌加重了危机程度.综上,本文针对衍生品设计和市场的完善提出了建议.     

Pricing Structure in Tokyo Metropolitan Land Markets and its Structural Changes: Pre-bubble,Bubble, and Post-bubble Periods

In this paper, we estimate hedonic price equations of Japanese commercial and residential land prices for a 25-year period and to investigate possible structural changes in these price equations. Our price equations are based on transaction prices, not appraised land values, of commercial land in Central Business Districts of Tokyo (Chiyoda Ward, Chuo Ward, and Minato Ward), and residential land of its suburb (Setagaya Ward). We find that price structure differs substantially among locations, reflecting differences in supplier pricing and end-user preferences. We also find significant structural changes in price structure, identifying pre-bubble, bubble and post-bubble periods.

Developing a House Price Index for The Netherlands: A Practical Application of Weighted Repeat Sales

This paper describes the development of a house price index that has been introduced in May 2005 in The Netherlands. This monthly index, called Woningwaarde Index Kadaster (House Price Index Kadaster), is designed to detect changes in the price of the overall stock of owner-occupied homes. Fifty-five indices are calculated: one overall index, four regional indices, 12 provincial indices and 38 indices based on combinations of region/province and dwelling type. We used Case and Shiller’s geometric Weighted Repeat Sales Model to calculate monthly house price indices. We used recorded data on the sales of over 500,000 owner-occupied homes in The Netherlands, all representing repeat sales between January 1993 and December 2006. The accuracy of the index was determined using the 95% confidence interval. We observed that accuracy might become a problem in smaller sub samples. Revision volatility was explored by comparing the index values computed from all available data until December 2005 with the index values computed from the data available until December 2006. Our analysis showed that revision volatility does not seem to be a major problem to the index. We also explored heteroskedasticity in the Repeat Sales method but did not find conclusive evidence for the proposed heteroskedasticity. Given our target (a geometric mean index value) and the characteristics of the dataset (very large but without property characteristics) the Repeat Sales Method seems to be adequate for calculating a house price index for The Netherlands.

Forecasting state- and MSA-level housing returns of the US: The role of mortgage default risks

We analyze the ability of an index of mortgage default risks (MDRI) for 43 states and 20 metropolitan statistical areas (MSA) of the US derived from Google search queries, in predicting (in- and out-of-sample) housing returns of the corresponding states and MSAs, based on various panel data and time-series approaches. In general, our results tend to prefer the panel data model based on common correlated effects estimation. We highlight that growth in MDRI negatively impacts housing returns within-sample, with predictive gains primarily concentrated beyond a year. These results are robust to alternative out-of-sample periods and econometric frameworks. Given the role of house prices as a leading indicators, our results are of value to policymakers, especially at the longer-run.     

Price Transmission Effect between GDRs and Their Underlying Stocks—Evidence from Taiwan

In this paper we examine the price transmission effect between ADRs or GDRs and their respective underlying stocks. This linkage is investigated for Granger causality using difference form and VECM. Results reveal unidirectional causality from Taiwan's capital market to the foreign market. This asymmetry suggests the domestic market plays a dominant role in price transmission relative to the foreign market. Besides, the prices of both markets will make adjustment to establish a long run cointegrated equilibrium. An additional finding is that both the premium and net buy have significant impacts on international price transmission for over twenty percent samples. Empirical outcomes also provide the evidence that our model is quite robust.     

A model of mortgage losses and its applications for macroprudential instruments

We develop a theoretical model of mortgage loss rates that evaluates their main underlying risk factors. Following the model, loss rates are positively influenced by the house price level, the loan-to-value of mortgages, interest rates, and the unemployment rate. They are negatively influenced by the growth of house prices and the income level. The calibration of the model for the US and Switzerland demonstrates that it is able to describe the overall development of actual mortgage loss rates. In addition, we show potential applications of the model for different macroprudential instruments: stress tests, countercyclical buffer, and setting risk weights for mortgages with different loan-to-value and loan-to-income ratios.     

Hedging Housing Risk*

An unusually rich source of data on housing prices in Stockholm is used to analyze the investment implications of housing choices. This empirical analysis derives market-wide price and return series for housing investment during a 13-year period, and it also provides estimates of the individual-specific, idiosyncratic, variation in housing returns. Because the idiosyncratic component follows an autocorrelated process, the analysis of portfolio choice is dependent upon the holding period. We analyze the composition of household investment portfolios containing housing, common stocks, stocks in real estate holding companies, bonds, and t-bills. For short holding periods, the efficient portfolio contains essentially no housing. For longer periods, low-risk portfolios contain 15 to 50 percent housing. These results suggest that there are large potential gains from policies or institutions that would permit households to hedge their lumpy investments in housing. We estimate the potential value of hedges in reducing risk to households, yet yielding the same investment returns. The value is surprisingly large, especially to poorer homeowners.