Estimating Oil Risk Factors Using Information from Equity and Derivatives Markets

We introduce a novel approach to estimating latent oil risk factors and establish their significance in pricing nonoil securities. Our model, which features four factors with simple economic interpretations, is estimated using both derivative prices and oil‐related equity returns. The fit is excellent in and out of sample. The extracted oil factors carry significant risk premia, and are significantly related to macroeconomic variables as well as portfolio returns sorted on characteristics and industry. The average nonoil portfolio exhibits a sensitivity to the oil factors amounting to a sixth (in magnitude) of that of the oil industry itself.     

The value of risk in real estate markets

In this article we test the urban asset pricing model of Capozza and Sick (1988) and focus on the empirical dimensions of the effects of risk on urban land prices. The effects of systematic and unsystematic risk are distinguished in the model which incorporates the value of the option to convert land to urban uses into the pricing of urban real estate. We find the value of systematic risk in our Canadian urban areas to be negative and highly statistically significant. We find that approximately 2.5 percent of the value of houses in our sample arises from systematic risk. In our sample, unsystematic risk is a larger proportion of total risk than systematic risk. Therefore, most of the effect of total risk may be ascribed to unsystematic risk. The effect of total risk on land prices is illustrated through the irreversibility premia estimates. These premia vary greatly in size and statistical significance. Thus, the effect of unsystematic risk is highly city specific. In the two regions where the irreversibility premia are statistically significant, it accounts for 22 percent and 53 percent of the average housing price; thus, unsystematic risk can be a very important determinant of housing prices.These results highlight the importance of risk in determining urban land prices. The value of the option to convert land to urban uses imparts considerable value to developed land and must be considered when evaluating interurban area price differences.     

Understanding Housing Market Volatility

The Campbell–Shiller present value formula implies a factor structure for the price–rent ratio of housing market. Using a dynamic factor model, we decompose the price–rent ratios of 23 major housing markets into a national factor and independent local factors, and we link these factors to the economic fundamentals of the housing markets. We find that a large fraction of housing market volatility is local and that the national factor has become more important than local factors in driving housing market volatility since 1999, consistent with the findings in Del Negro and Otrok (2007). The local volatilities mostly are due to time variations of idiosyncratic housing market risk premia, not local growth. At the aggregate level, the growth and interest rate factors jointly account for less than half of the total variation in the price–rent ratio. The rest is due to the aggregate housing market risk premium and a pricing error. We find evidence that the pricing error is related to money illusion, especially at the onset of the recent housing market bubble. The rapid rise in housing prices prior to the 2008 financial crisis was accompanied by both a large increase in the pricing error and a large decrease in the housing market risk premium.     

Illiquidity and its discontents: Trading delays and foreclosures in the housing market

The macroeconomic effects of housing illiquidity are analyzed using a novel directed search model of housing with long-term debt and default. Debt overhang emerges when highly leveraged sellers are forced to post high prices that produce long selling delays. These delays increase foreclosures, raise default premia, and curtail credit. Cheaper credit fuels temporarily higher house prices, faster sales, and fewer foreclosures, but the borrowing surge facilitates future debt overhang and default. More stringent foreclosure punishments also expand credit and, therefore, either generate higher foreclosures or more debt overhang. Leverage caps avoid this conundrum but reduce welfare by restricting borrowing.     

Macroeconomic Sources of Risk in the Term Structure

We develop a new way of modeling time variation in term premia, based on the stochastic discount factor model of asset pricing. The joint distribution of excess U.S. bond returns of different maturity and the observable fundamental macroeconomic factors is modeled using multivariate GARCH with conditional covariances in the mean to capture the term premia. By testing the assumption of no arbitrage we derive a specification test of our model. We estimate the contribution made to the term premia at different maturities through real and nominal sources of risk. From the estimated term premia we recover the term structure of interest rates and examine how it varies through time. Finally, we examine whether the reported failures of the rational expectations hypothesis can be attributed to an omitted time-varying term premium.     

Exchange Rates and the Conversion of Currency‐Specific Risk Premia

How do the risk factors that drive asset prices influence exchange rates? Are the parameters of asset price processes relevant for specifying exchange rate processes? Most international asset pricing models focus on the analysis of asset returns given exchange rate processes. Little work has been done on the analysis of exchange rates dependent on asset returns. This paper uses an international stochastic discount factor (SDF) framework to analyse the interplay between asset prices and exchange rates. So far, this approach has only been implemented in international term structure models. We find that exchange rates serve to convert currency‐specific discount factors and currency‐specific prices of risk – a result linked to the international arbitrage pricing theory (IAPT). Our empirical investigation of exchange rates and stock markets of four countries presents evidence for the conversion of currency‐specific risk premia by exchange rates.     

International house prices and macroeconomic fluctuations

The paper investigates linkages between general macroeconomic conditions and the housing market for the G-7 area. Among the key results of the paper, we find that the US are an important source of global fluctuations not only for real activity, nominal variables and stock prices, but also for real housing prices. Secondly, albeit distinct driving forces for real activity and financial factors can be pointed out, sizeable global interactions are also evident. In particular, global supply-side shocks are an important determinant of G-7 house prices fluctuations. The linkage between real housing prices and macroeconomic developments is however bidirectional, with investment showing in general a stronger reaction than consumption and output to housing price shocks. Implications for the real effects of the sub-prime crisis are also explored.     

Devaluation-risk-related peso problems in stock returns

The phenomenon of a non-random negative trend in stock prices is usually explained on the macroeconomic level, either by constantly rising risk premia or by a trend in other macroeconomic factors that affect the stock market as a whole. In this paper it is argued that a negative trend in individual stock prices can be caused by a firm-level peso problem related to devaluation expectations. If the devaluation-risk-related peso problem hypothesis is correct, the share prices of companies with a higher foreign exchange rate exposure should react more strongly to the phenomenon than the stock prices of firms with a lower level of exposure. Cross-sectional regression analysis on the individual firm level is used to test for the hypothesis. Empirical findings based on Finnish data from the period 1989 through 1992 strongly support the proposed hypothesis.     

Pricing mortgage insurance contracts under housing price cycles with jump risk: evidence from the U.K. housing market

Previous studies have investigated the determinants of housing price cycles in the housing market; however, we observed the phenomenon of housing price jumps in the 2007 subprime crisis. This paper presents a discussion on the housing price cycle and abnormal price jumps to describe the behavior of housing prices in the United Kingdom. The empirical results show that the impact factors of housing cycles are market risk and the switching factor. Furthermore, the impact factors of jump risks include the bursting of the housing bubble and financial crises. Therefore, in this paper, we employ the Markov switching model with jump risks to value the MI contracts and analyze the influences of housing price cycles, jump risks, risks of market interest rate, and the prepayment risks on MI premiums. The results of sensitivity analysis show that more volatile housing price index returns, as well as longer periods of higher volatility in housing prices, raise MI premiums. Moreover, the MI premium is positively related to the absolute value of the average jump amplitude and the shock frequency of abnormal events. There is the tradeoff between the market interest rate and the prepayment risk. The influences of market interest rate are different on MI premium with/without prepayment risks.     

Risk premia in option markets

Risk premia are related to price probability ratios or for continuous time pure jump processes the ratios of jump arrival rates under the pricing and physical measures. The variance gamma model is employed to synthesize densities with risk premia seen as the ratio of the three parameters. The premia are shown to be mean reverting, predictable, focused on crashes at shorter horizons and rallies at the longer horizon. Predicted premia may be used to adjust physical parameters to develop option prices based on time series data.     

RISK-RETURN SEASONALITY AND MACROECONOMIC VARIABLES

In this paper I examine seasonality in the pricing of the Chen, Roll, and Ross (1986) macroeconomic variables. January seasonality is observed in the risk premia from 1932 to 1990. Examination of the 1932–57 period indicates nonstationary seasonals in the risk premia. The results cannot be attributed to the previously documented firm size effect. Residual risk is priced, and a strong January seasonality is observed in the residual risk premia. The market portfolio is not priced in the presence of the other variables. Trading volume is not priced in the individual months, but appears significant when all months are considered together.     

Diversification of Macroeconomic Risk and International Integration of Capital Markets: The Case of Mexico

This article tests the arbitrage pricing theory in the contextof the unstable macroeconomic years in Mexico, 1977–87.Using information on returns on assets available to domesticinvestors—primarily stocks traded at the local stock exchange—anattempt is made to ascertain the extent to which these assetshave offered premia for a set of proposed sources of risk. Thepervasive factors that play an important role in asset pricingin Mexico are unexpected inflation, unexpected money growth,innovations in the Standard & Poor's 500 price series, andinnovations in the dollar oil price. A residual market factoris obtained, using the McElroy and Burmeister model. Given thatthese risks get premia over and above the riskless rate, expectedrates of return in Mexico have been higher during the yearsof erratic macroeconomic conditions. Mexico is not consideredto be well integrated with the international capital marketsbecause local sources of risk—such as inflation—arenot priced in the United States, whereas international sourcesof uncertainty—such as oil price shocks—are pricedlocally but not in the United States.     

Price and Volatility Transmission across Borders

Over the past forty years, financial markets throughout the world have steadily become more open to foreign investors. With open markets, asset prices are determined globally. A vast literature on portfolio choice and asset pricing has evolved to study the importance of global factors as well as local factors as determinants of portfolio choice and of expected returns on risky assets. There is growing evidence that risk premia are increasingly determined globally. An important outcome of this force of globalization is increased comovement in asset prices across markets. This survey study examines the literature on the dynamics of comovements in asset prices and volatility across markets around the world. The literature began in the 1970s in conjunction with early theoretical developments on international asset pricing models, but it blossomed in the late 1980s and early 1990s with the availability of comprehensive international stock market databases and the development of econometric methodology to model these dynamics.     

MACROECONOMIC VARIABLES AND SEASONAL MEAN REVERSION IN STOCK RETURNS

In this paper I investigate whether seasonal mean reversion in stock portfolio returns is related to common macroeconomic risk factors. I decompose excess returns into explained and unexplained returns using a multifactor pricing model. The explained excess returns exhibit January mean reversion; the unexplained excess returns do not. The mean reversion can be attributed to the components of return related to unexpected inflation, bond default premium, and market risk. The results do not depend on the time-series properties of the portfolio betas. Bond default premia and excess market returns are mean reverting in January.     

The Dynamic Impact of Macroeconomic Aggregates on Housing Prices and Stock of Houses: A National and Regional Analysis

This article analyzes the dynamic effects of four key macroeconomic variables on the housing prices and the stock of houses sold on the national and regional levels using a nonstructural estimation technique. The impulse response functions derived from the VAR suggest that macroeconomic variables produce cycles in housing prices and houses sold. The housing market was found to be very sensitive to shocks in the employment growth and mortgage rate at both the national and regional levels. In particular, regional housing prices reflect regional employment growth, as well as national mortgage rates. The study also reveals that the economic variables have a different impact on the dynamic behavior of housing prices and the number of houses sold in different regions at different time periods and that these economic aggregates alone cannot explain the fluctuations in real estate values and construction levels that occurred in some regions.     

Do Beta Pricing Models Explain January Mean Reversion in Stock Returns?

Jegadeesh (1991) finds evidence of January mean reversion in stock returns. In this paper we attempt to distinguish between two competing economic explanations of January mean reversion in returns: (1) mispricing in irrational markets versus (2) predictable time variation in security risk premia. Excess portfolio returns are decomposed into “explained” and “unexplained” components using the Fama-French (1993) pricing model. The explained excess returns exhibit January mean reversion. The unexplained excess returns are not mean reverting. Mean reversion is therefore consistent with rational pricing in the framework of the Fama-French model. Mean reversion can be attributed to the component of return related to a relative distress factor (SMB). A comparison with the Chen, Roll, and Ross (1986) macroeconomic factors reveals that mean reversion is due to the components related to SMB and bond default premium.     

Expectation-driven cycles in the housing market: Evidence from survey data

Using a vector-autoregression (VAR) model and data from the University of Michigan Survey of Consumers, we provide evidence on the importance of news and consumers’ beliefs for housing-market dynamics and aggregate fluctuations. We document that innovations to News on Business Conditions generate hump-shaped responses in house prices and other macroeconomic variables. We also show that innovations to Expectations of Rising House Prices are particularly important in explaining the path of macroeconomic variables during housing booms. To disentangle the effects of News on Business Conditions from other sources of expectation-driven cycles, we estimate a VAR where the News variable is ordered first. Innovations to News on Business Conditions generate Expectations of Rising House Prices. However, during housing booms, innovations to Expectations of Rising House Prices unrelated to News on Business Conditions account for a large part of macroeconomic fluctuations. Shocks to News and Expectations account together for more than half of the forecast error variance of house prices, and other macroeconomic variables, during periods of booms in house prices.     

Home Equity Insurance

Home equity insurance policies—policies insuring homeowners against declines in the prices of their homes—would bear some resemblance both to ordinary insurance and to financial hedging vehicles. A menu of choices for the design of such policies is presented here, and conceptual issues are discussed. Choices include pass-through futures and options, in which the insurance company in effect serves as a retailer to homeowners of short positions in real estate futures markets or of put options on real estate indices. Another choice is a life-event-triggered insurance policy, in which the homeowner pays regular fixed insurance premia and is entitled to a claim if both a sufficient decline in the real estate price index and a specified life event (such as a move beyond a certain geographical distance) occur. Pricing of the premia to cover loss experience is derived, and tables of break-even policy premia are shown, based on estimated models of Los Angeles housing prices from 1971 to 1994.     

Quantitative Asset Pricing Implications of Endogenous Solvency Constraints

We study the asset pricing implications of an economy wheresolvency constraints are endogenously determined to deter agentsfrom defaulting while allowing as much risk sharing as possible.We solve analytically for efficient allocations and for thecorresponding asset prices, portfolio holdings, and solvencyconstraints for a simple example. Then we calibrate a more generalmodel to U.S. aggregate as well as idiosyncratic income processes.We find equity premia, risk premia for long-term bonds, andSharpe ratios of magnitudes similar to the U.S. data for lowriskaversion and a lowtime-discount factor.     

Volatility,the Macroeconomy,and Asset Prices

How important are volatility fluctuations for asset prices and the macroeconomy? We find that an increase in macroeconomic volatility is associated with an increase in discount rates and a decline in consumption. We develop a framework in which cash flow, discount rate, and volatility risks determine risk premia and show that volatility plays a significant role in explaining the joint dynamics of returns to human capital and equity. Volatility risk carries a sizable positive risk premium and helps account for the cross section of expected returns. Our evidence demonstrates that volatility is important for understanding expected returns and macroeconomic fluctuations.