Short-term determinants of the idiosyncratic sovereign risk premium: A regime-dependent analysis for European credit default swaps

This study investigates the dynamics of the sovereign CDS term premium, i.e. difference between 10Y and 5Y CDS spreads. It can be regarded a forward-looking measure of idiosyncratic sovereign default risk as perceived by financial markets. For some European countries this premium featured distinct nonstationary and heteroskedastic pattern during the last years. Using a Markov-switching unobserved component model, we decompose the daily CDS term premium of five European countries into two unobserved components of statistically different nature and link them in a vector autoregression to various daily observed financial market variables. We find that such decomposition is vital for understanding the short-term dynamics of this premium. The strongest impacts can be attributed to CDS market liquidity, local stock returns, and overall risk aversion. By contrast, the impact of shocks from the sovereign bond market is rather muted. Therefore, the CDS market microstructure effect and investor sentiment play the main roles in sovereign risk evaluation in real time. Moreover, we also find that the CDS term premium response to shocks is regime-dependent and can be ten times stronger during periods of high volatility.     

An Unobserved Components Model of the Yield Curve

We develop an unobserved component model in which the short‐term interest rate is composed of a stochastic trend and a stationary cycle. Using the Nelson–Siegel model of the yield curve as inspiration, we estimate an extremely parsimonious state‐space model of interest rates across time and maturity. The time‐series process suggests a specific functional form for the yield curve. We use the Kalman filter to estimate the time‐series process jointly with observed yield curves, greatly improving empirical identification. Our stochastic process generates a three‐factor model for the term structure. At the estimated parameters, trend and slope factors matter while the third factor is empirically unimportant. Our baseline model fits the yield curve well. Model generated estimates of uncertainty are positively correlated with estimated term premia. An extension of the model with regime switching identifies a high‐variance regime and a low‐variance regime, where the high‐variance regime occurs rarely after the mid‐1980s. The term premium is higher, and more so for yields of short maturities, in the high‐variance regime than in the low‐variance regime. The estimation results support our model as a simple and yet reliable framework for modeling the term structure.     

The evolution of pay premiums for managerial attributes

This paper proposes and estimates an interactive fixed effects model of executive compensation, which allows for time-variant pay premiums for unobserved manager attributes. We find that two managerial traits can explain executive compensation over time: talent and conservatism. The market premium for talent is higher in bull markets, as the higher marginal productivity of human capital during these periods increases the demand and thus the price for talents. Such pay premium is concentrated among top talented managers, who earn a premium about five times that of median talented managers. The pay premium for conservatism is linked to the equity market risk premium, with conservatism being discounted (compensated) during the low (high) risk premium periods. We show that risk-taking managers are rewarded during the early period of our sample. However, after the periods characterized by higher risk premium, such as the financial crisis, conservatism becomes a more desirable trait.     

TIME-VARYING TERM PREMIA AND THE BEHAVIOR OF FORWARD INTEREST RATE PREDICTION ERRORS

In this paper I examine the time-varying expected term premium argument for the failure of the expectations hypothesis of the term structure of U.S. interest rates. Using an unobserved components model to estimate expected term premia from March 1951 to January 1991, I find considerable variation in estimated premia and significant persistence in their volatility over time.     

Trend Inflation and the Nature of Structural Breaks in the New Keynesian Phillips Curve

We show that with a unit root in inflation, the new Keynesian Phillips curve (NKPC) implies an unobserved components model with a stochastic trend component and an inflation gap. Our empirical results suggest that with an increase in trend inflation during the Great Inflation, the response of inflation to real economic activity decreases and the persistence of the inflation gap increases due to an increase in the persistence of the unobserved stationary component. These results are in line with the predictions of Cogley and Sbordone ( 2008 ), who show that the coefficients of the NKPC are functions of time‐varying trend inflation.     

Decomposing the accrual premium: The evidence from two markets

We decompose the accrual premium and study its components in the debt and equity markets. We show that the importance of each accrual component depends on the sample and the type of market considered. The short‐term accruals component is primarily observed in equity markets, among small and young companies, which is consistent with mispricing arguments. The long‐term accruals premium is consistently positive and significant in different samples and markets. This component reflects growth in capital expenditures, and it is counter‐cyclical and predictable, which is in line with investment‐based explanations. Finally, the financial accruals component does not generate predictability.     

Measuring the forward foreign exchange risk premium: multi-country evidence from unobserved components models

We investigate the nature of the foreign exchange risk premium for a wide range of currencies, using unobserved components models with exactly matched spot and forward exchange rate data. Significant time-variation of the risk premium is documented for most currencies. Our estimates indicate considerable persistence in the risk premium, and suggest that the variability of the risk premium is quite low relative to the variability of the forward forecast error.     

Central bank interventions and exchange rates: an analysis with high frequency data

We use high frequency data for the mark–dollar exchange rate for the period 1992–1995 to evaluate the effects of central bank interventions on the foreign exchange market. We estimate an unobserved component model that decomposes volatility into non-stationary and stationary parts. Stationary components in turn are decomposed into seasonal and non-seasonal intra-day parts. Our results confirm the view that interventions are not particularly effective. The exchange rate moves in the desired direction for only about 50% of the time, and often with a substantial increase in volatility. The model suggests that the two components, which are affected the most by interventions, are the permanent and the stochastic intra-day.     

Is the ex‐ante equity risk premium always positive? Evidence from a new conditional expectations model

We model the conditional risk premium by combining principal component analysis and a statistical learning technique, known as boosted regression trees. The method is validated through various out‐of‐sample tests. We apply the estimates to test the positivity restriction on the risk premium and find evidence that the risk premium is negative in periods of low corporate and government bond returns, high inflation and downward‐sloping term structure. These periods are linked with changes in business cycles; the states when theories predict the existence of negative risk premium. Based on the evidence, we reject the conditional capital asset pricing model and raise a question over the practice of imposing the positive risk premium constraint in predictive models.     

Value premium and macroeconomic variables

This paper investigates the effect of macroeconomic expectations on the value premium. We introduce a two-pass estimation procedure to extrapolate the impact of investors' macroexpectations on the firm fundamental value of Rhodes-Kropf, Robinson, and Viswanathan. We find that the level and slope of the term structure affect valuation, revealing a heavily industry-dependent effect. The portfolios sorted on metrics orthogonal to macroeconomic variables show a clear association between the misvaluation component of value premium and size risk. By removing the influence of the macroeconomic conditions and size, we separate the portion of the value premium that rewards macroeconomic expectations.     

Rushing to Overpay: Modeling and Measuring the REIT Premium

We explore the questions of why Real Estate Investment Trusts (REITs) pay more for real estate than non-REIT buyers and by how much. First, we develop a search model where REITs optimally pay more for property because (1) they are willing, due to cost of capital advantages and, (2) they are occasionally rushed, due to external regulatory time constraints and internal incentives to deploy capital quickly. Second, using commercial real estate transactions, we find that the extant hedonic pricing models contain an unobserved explanatory variables bias leading to inflated estimates of the REIT premium. Third, using a repeat-sales methodology that controls for unobserved property characteristics, we derive more plausible estimates of the REIT premium. Consistent with our model, we also find the REIT-buyer premium depends on the size of the REIT advantage, the rush to deploy, and the relative presence of REITs in the market.     

Book-to-market and size effects: compensations for risks or outcomes of market inefficiencies?

We employ the optimal orthogonal portfolio approach to investigate if the size and book-to-market effects in US data are related to risk factors beside the market risk. This method enables us to estimate the upper limit of the risk premium, due to observed as well as all possible unobserved factors, which can be derived from a linear asset pricing model. As a corollary, it is possible to divide the observed average asset return into three parts: one explained by the market factor, one due to the unobserved factors, and finally the non-risk-based (NRB) component. Our empirical results confirm the existence of latent risk factors, which cannot be captured by the market index. In particular, the size effect is related to some other background risk factors than the market portfolio, but a large part of observed book-to-market effect has a NRB explanation.     

Negotiations under the threat of an auction

Many takeovers occur after one-on-one negotiations, which suggests a troubling lack of competition. We seek to determine whether acquirers in such friendly deals are truly insulated from competitive pressures. We study two countervailing influences: (1) potential but unobserved latent competition, i.e., the likelihood that rival bidders could appear, and (2) anticipated auction costs when negotiations fail. Using various proxies, we find that latent competition increases the bid premium offered in negotiated deals and that auction costs reduce the premium.     

TIME VARYING RISK PREMIUM AND THE PREDICTIVE POWER OF THE AUSTRALIAN TERM STRUCTURE OF INTEREST RATES

Using weekly data on bank accepted bills over the 1976 to 1993 period, this paper provides direct evidence of the presence of a term premium in the Australian term structure. The term premium is shown to vary over time and have an adverse effect on the predictive power of the term structure. The variance of the expected term premium is quantified in terms of its lower bound relative to the upper bound of the variance of the rational expectations error. This ratio is observed to vary over sample sub periods and rise to a high of one in some periods which include the period immediately prior to the market crash.     

Is the Term Premium a Risk Premium?

This paper explores whether excess holding period returns on long vis-a-vis short-term securities behave in a manner that is consistent with (1) market efficiency, (2) the time-varying-term-premium variant of the expectations hypothesis, and (3) theories of the term premium that view it as a reward for risk bearing. Both traditional and modern theories of the term premium imply that it should evolve fairly slowly over time as attitudes toward risk and/or perceived covariances with wealth or consumption change. This implies that this period's term premium should have some predictive ability for next period's. However, we find that this quarter's ex-post term premium has zero predictive ability. For monthly rates and returns, the evidence is less clear cut, but again the implied term premia do not behave in a manner consistent with existing theories.     

Uncovering the US term premium: An alternative route

The estimates of the US term premium crucially depend upon the ex-ante decision on whether the short-term rate is either an I(0) or an I(1) process. In this paper we estimate a fractionally integrated (I(d)) model which simultaneously determines both the order of integration of the short-term rate and the associated term premium. We show that the term premium experienced a sharp increase from essentially zero in mid-2007 to almost 3% in 2009. We also show that unemployment and term premium dynamics exhibit a very significant positive co-movement.     

The market price of risk of the variance term structure

In this paper I examine the market price of risk of the variance term structure. To this end, the S&P 500 option implied variance term structure is used as a proxy for aggregate variance risk. Principal component analysis shows that time variation in the variance term structure over the 1996–2012 period can be explained mainly by two factors which capture changes in the level and slope. The market price of risk of each factor is estimated in the cross-section of stock returns. The slope of the variance term structure is the most significant factor in the cross-section of stocks returns and carries a negative risk premium. The slope factor has also some predictive ability over long horizon equity returns.     

Predictability of Term Spread for Economic Activity with Liquidity Premium Theory

In this article, we explore the predictive content of the term spread based on the liquidity premium theory. We decompose the contribution of the spread into the effect of expected future changes in short rates and the effect of the term premium. We also examine whether the predictive power of the term spread for real economic activity can be enhanced by such a decomposition. The basic finding is that both the expectations effect and the term premium effect are relevant for predicting economic fluctuations. In particular, we find that the decomposition might lead to a better prediction for the business-cycle turning points than the usual term spread.     

What do asset prices have to say about risk appetite and uncertainty?

Building on intuition from the dynamic asset pricing literature, we uncover unobserved risk aversion and fundamental uncertainty from the observed time series of the variance premium and the credit spread while controlling for the conditional variance of stock returns, expectations about the macroeconomic outlook, and interest rates. We apply this methodology to monthly data from both Germany and the US. We find that the variance premium contains a substantial amount of information about risk aversion whereas the credit spread has a lot to say about uncertainty. We link our risk aversion and uncertainty estimates to practitioner and “academic” risk aversion indices, sentiment indices, financial stress indices, business cycle indicators and liquidity measures.