Funding Value Adjustments

In this paper, we demonstrate that the funding value adjustments (FVAs) of major dealers are debt overhang costs to their shareholders. To maximize shareholder value, dealer quotations therefore adjust for FVAs. Our case studies include interest‐rate swap FVAs and violations of covered interest parity. Contrary to current valuation practice, FVAs are not themselves components of the market values of the positions being financed. Current dealer practice does, however, align incentives between trading desks and shareholders. We also establish a pecking order for preferred asset financing strategies and provide a new interpretation of the standard debit value adjustment.     

Do Bonds Span Volatility Risk in the U.S. Treasury Market? A Specification Test for Affine Term Structure Models

We propose using model‐free yield quadratic variation measures computed from intraday data as a tool for specification testing and selection of dynamic term structure models. We find that the yield curve fails to span realized yield volatility in the U.S. Treasury market, as the systematic volatility factors are largely unrelated to the cross‐section of yields. We conclude that a broad class of affine diffusive, quadratic Gaussian, and affine jump‐diffusive models cannot accommodate the observed yield volatility dynamics. Hence, the Treasury market per se is incomplete, as yield volatility risk cannot be hedged solely through Treasury securities.     

CREDIBILITY AND MULTIPLE EQUILIBRIA IN POLICY GAMES: A REPLY TO IRWIN

In this note we respond to Irwin's comment on Andersen and Risager(1991).     

Return Volatility and Trading Volume: An Information Flow Interpretation of Stochastic Volatility

The paper develops an empirical return volatility-trading volume model from a microstructure framework in which informational asymmetries and liquidity needs motivate trade in response to information arrivals. The resulting system modifies the so-called “Mixture of Distribution Hypothesis” (MDH). The dynamic features are governed by the information flow, modeled as a stochastic volatility process, and generalize standard ARCH specifications. Specification tests support the modified MDH representation and show that it vastly outperforms the standard MDH. The findings suggest that the model may be useful for analysis of the economic factors behind the observed volatility clustering in returns.     

Short‐Term Market Risks Implied by Weekly Options

We study short‐maturity (“weekly”) S&P 500 index options, which provide a direct way to analyze volatility and jump risks. Unlike longer‐dated options, they are largely insensitive to the risk of intertemporal shifts in the economic environment. Adopting a novel seminonparametric approach, we uncover variation in the negative jump tail risk, which is not spanned by market volatility and helps predict future equity returns. As such, our approach allows for easy identification of periods of heightened concerns about negative tail events that are not always “signaled” by the level of market volatility and elude standard asset pricing models.     

DO SOCCER ASSOCIATIONS REALLY SPEND ON A GOOD THING? EMPIRICAL EVIDENCE ON HETEROGENEITY IN THE CONSUMER RESPONSE TO MATCH UNCERTAINTY OF OUTCOME

The purpose of this study is to analyze whether previous results describing the effect of uncertainty of outcome on match attendance in team sports have been driven by heterogeneity in fan demand. We apply censored quantile regression methods and place particular emphasis on the relationship between match uncertainty and attendance demand, as previous results are highly ambiguous. This is more surprising, as each season association and league officials continue to spend millions on enhancing this uncertainty. We also control for season ticket holders, who are unlikely to be influenced by match specificities. Based on data from German soccer, our results indicate that fan demand shows heterogeneity across quantiles and that increasing match uncertainty of outcome exclusively benefits teams who already face strong attendance demand. ( JEL D12, C14, C24, L83)     

Heterogeneous Information Arrivals and Return Volatility Dynamics: Uncovering the Long-Run in High Frequency Returns

Recent empirical evidence suggests that the interdaily volatility clustering for most speculative returns are best characterized by a slowly mean-reverting fractionally integrated process. Meanwhile, much shorter lived volatility dynamics are typically observed with high frequency intradaily returns. The present article demonstrates, that by interpreting the volatility as a mixture of numerous heterogeneous short-run information arrivals, the observed volatility process may exhibit long-run dependence. As such, the long-memory characteristics constitute an intrinsic feature of the return generating process, rather than the manifestation of occasional structural shifts. These ideas are confirmed by our analysis of a one-year time series of five-minute Deutschemark-U.S. Dollar exchange rates.     

Monetary Policy and Inequality

We analyze the distributional effects of monetary policy on income, wealth, and consumption. We use administrative household-level data covering the entire population in Denmark over the period 1987 to 2014 and exploit a long-standing currency peg as a source of exogenous variation in monetary policy. We find that gains from softer monetary policy in terms of income, wealth, and consumption are monotonically increasing in ex ante income. The distributional effects reflect systematic differences in exposure to the various channels of monetary policy, especially nonlabor channels (e.g., leverage and risky assets). Our estimates imply that softer monetary policy increases income inequality.