Inflation and the price of real assets

In the 1970s, U.S. asset markets witnessed (i) a 25% dip in the ratio of aggregate household wealth relative to GDP and (ii) negative comovement of house and stock prices that drove a 20% portfolio shift out of equity into real estate. This study uses an overlapping generations model with uninsurable nominal risk to quantify the role of structural change in these events. We attribute the dip in wealth to the entry of baby boomers into asset markets, and to the erosion of bond portfolios by surprise inflation, both of which lowered the overall propensity to save. We also show that the Great Inflation led to a portfolio shift by making housing more attractive than equity. Apart from tax effects, a new channel is that disagreement about inflation across age groups drives up collateral prices when credit is nominal. ; This paper is an extension of Monika Piazzesi's and Martin Schneider's work while they were in the Research Department of the Federal Reserve Bank of Minneapolis.

Momentum traders in the housing market: survey evidence and a search model

This paper studies household beliefs during the recent US housing boom. To characterize the heterogeneity in households’ views about housing and the economy, we perform a cluster analysis on survey responses at different stages of the boom. The estimation always finds a small cluster of households who believe it is a good time to buy a house because house prices will rise further. The size of this “momentum” cluster doubled towards the end of the boom. We also provide a simple search model of the housing market to show how a small number of optimistic investors can have a large effect on prices without buying a large share of the housing stock. ; This paper is an extension of Monika Piazzesi's and Martin Schneider's work while they were in the Research Department of the Federal Reserve Bank of Minneapolis.Housing ; Inflation (Finance) ; Interest rates

Trend and cycle in bond premia

Common statistical measures of bond risk premia are volatile and countercyclical. This paper uses survey data on interest rate forecasts to construct subjective bond risk premia. Subjective premia are less volatile and not very cyclical; instead they are high, only around the early 1980s. The reason for the discrepancy is that survey forecasts of interest rates are made as if both the level and the slope of the yield curve are more persistent than under common statistical models. The paper then proposes a consumption based asset pricing model with learning to explain jointly the difference between survey and statistical forecasts, and the evolution of subjective premia. Adaptive learning gives rise to inertia in forecasts, as well as changes in conditional volatility that help understand both features. ; This paper is an extension of Monika Piazzesi's and Martin Schneider's work while they were in the Research Department of the Federal Reserve Bank of Minneapolis.Bonds

Futures Prices as Risk-adjusted Forecasts of Monetary Policy

Many researchers have used federal funds futures rates as measures of financial markets' expectations of future monetary policy. However, to the extent that federal funds futures reflect risk premia, these measures require some adjustment to account for these premia. In this paper, we document that excess returns on federal funds futures have been positive on average and strongly countercyclical. In particular, excess returns are surprisingly well predicted by macroeconomic indicators such as employment growth and financial business-cycle indicators such as Treasury yield spreads and corporate bond spreads. Excess returns on eurodollar futures display similar patterns. We document that simply ignoring these risk premia has important consequences for the expected future path of monetary policy. We also show that risk premia matter for some futures-based measures of monetary policy surprises used in the literature.

Inflation Illusion, Credit, and Asset Pricing

This paper considers asset pricing in a general equilibrium model in which some, but not all, agents suffer from inflation illusion. Illusionary investors mistake changes in nominal interest rates for changes in real rates, while smart investors understand the Fisher equation. The presence of smart investors ensures that the equilibrium nominal interest rate moves with expected inflation. The model also predicts a nonmonotonic relationship between the price-to-rent ratio on housing and nominal interest rates -- housing booms occur both when the nominal rate is especially low and when it is especially high. In either situation, disagreement about real interest rates between smart and illusionary investors stimulates borrowing and lending and drives up the price of collateral. The resulting housing boom is stronger if credit markets are more developed. We document that many countries experienced a housing boom in the high-inflation 1970s and a second, stronger, boom in the low-inflation 2000s.

Equilibrium Yield Curves

This paper considers how the role of inflation as a leading business-cycle indicator affects the pricing of nominal bonds. We examine a representative agent asset pricing model with recursive utility preferences and exogenous consumption growth and inflation. We solve for yields under various assumptions on the evolution of investor beliefs. If inflation is bad news for consumption growth, the nominal yield curve slopes up. Moreover, the level of nominal interest rates and term spreads are high in times when inflation news are harder to interpret. This is relevant for periods such as the early 1980s, when the joint dynamics of inflation and growth was not well understood.

Bond positions, expectations, and the yield curve

This paper implements a structural model of the yield curve with data on nominal positions and survey forecasts. Bond prices are characterized in terms of investors' current portfolio holdings as well as their subjective beliefs about future bond payoffs. Risk premia measured by an econometrician vary because of changes in investors' subjective risk premia that are identified from portfolios and subjective beliefs but also because subjective beliefs differ from those of the econometrician. The main result is that investors' systematic forecast errors are an important source of business cycle variation in measured risk premia. By contrast, subjective risk premia move less and more slowly over time.Bonds - Prices ; Consumer behavior

A No-Arbitrage Vector Autoregression of Term Structure Dynamics with Macroeconomic and Latent Variables

This paper describes the joint dynamics of bond yields and macroeconomic variables in a Vector Autoregression, where identifying restrictions are based on the absence of arbitrage. Using a term structure model with inflation and economic growth factors, we investigate how macro variables affect bond prices and the dynamics of the yield curve. The setup accommodates higher order autoregressive lags for the macro factors. The macro variables are augmented by traditional unobserved term structure factors. We find that the forecasting performance of a VAR improves when no-arbitrage restrictions are imposed. Models that incorporate macro factors forecast better than traditional term structure models with only unobservable factors. Variance decompositions show that macro factors explain up to 85% of the variation in bond yields. Macro factors primarily explain movements at the short end and middle of the yield curve while unobservable factors still account for most of the movement at the long end of the yield curve.