Nuclear recoil energy scale in liquid xenon with application to the direct detection of dark matter

We show for the first time that the quenching of electronic excitation from nuclear recoils in liquid xenon is well-described by Lindhard theory, if the nuclear recoil energy is reconstructed using the combined (scintillation and ionization) energy scale proposed by Shutt {\it et al.}. We argue for the adoption of this perspective in favor of the existing preference for reconstructing nuclear recoil energy solely from primary scintillation. We show that signal partitioning into scintillation and ionization is well-described by the Thomas-Imel box model. We discuss the implications for liquid xenon detectors aimed at the direct detection of dark matter

Jet engine air intake system

An axisymmetric air intake system for a jet aircraft engine comprising a fixed cowl extending outwardly from the face of the engine, a centerbody coaxially disposed within the cowl, and an actuator for axially displacing the centerbody within the cowl was developed. The cowl and centerbody define a main airflow passageway therebetween, the configuration of which is changed by displacement of the centerbody. The centerbody includes a forwardly-located closeable air inlet which communicates with a centerbody auxiliary airflow passageway to provide auxiliary airflow to the engine. In one embodiment, a system for opening and closing the centerbody air inlet is provided by a dual-member centerbody, the forward member of which may be displaced axially with respect to the aft member

The Asymmetric Effect of the Business Cycle on the Realtion between Stock Market Returns and their Volatility

We examine the relation between US stock market returns and the US business cycle for the period 1960 - 2003 using a new methodology that allows us to estimate a time-varying equity premium. We identify two channels in the transmission mechanism. One is through the mean of stock returns via the equity risk premium, and the other is through the volatility of returns. We provide support for previous findings based on simple correlation analysis that the relation is asymmetric with downturns in the business cycle having a greater negative impact on stock returns than the positive effect of upturns. We also obtain a new result, that demand and supply shocks affect stock returns differently. Our model of the relation between returns and their volatility encompasses CAPM, consumption CAPM and Merton's (1973) inter-temporal CAPM. It is implemented using a multi-variate GARCH-in-mean model with an asymmetric time-varying conditional heteroskedasticity and correlation structure.Equity returns, risk premium, asymmetry

An Asset Market Integration Test Based on Observable Macroeconomic Stochastic Discount Factors

There are a number of tests and measures of the degree of integration in the literature. An example is the idea that integrated markets should provide rates of return that are highly correlated with one another and that a measure of correlation provides an appropriate test. This particular idea is clearly false; for substantial periods of time we don't ever see stocks traded on the same market moving together. Specific models of what prices risk in individual markets could provide the basis of a test of integration. However, as has been widely shown, any differences between these pricing models will be subject to arbitrage by informed traders and so cannot form the basis for a test. In this paper we exploit the absence of arbitrage possibilities and the operation of the 'Law of One Price' in stochastic discount factor (SDF) theory to construct a test of integration based on a common approach to pricing assets in all markets, not only for stocks. The SDF approach that we adopt says that one SDF should price all assets as the model is not market or asset-specific.Unlike much of the literature, we adopt a direct parametric approach which takes estimates of an identical SDF from two asset markets and asks whether the price of risk associated with this SDF is the same for the two assets as SDF theory says it should. Another distinctive feature of our approach is that we employ observable macroeconomic factors. This allows us to estimate and compare the estimated risk premia in the markets concerned, with and without the integration restriction being applied. The paper uses this methodology to test market integration between the UK equity and FOREX markets. Our test rejects market integration for the consumption-based capital asset pricing model (CCAPM) and two variable SDF models based on consumption growth and inflation and on output and money growth. As equity and FOREX returns have a similar degree of variability, the finding that the risk premium in the FOREX market is generally much more variable than that in the equity market may contribute to the the test outcome.

Macroeconomic Sources of Equity Risk

There are very few estimates of a time-varying equity risk premium based on models that satisfy a no-arbitrage condition. The main aim of this paper is to estimate the US and UK equity risk premia implied by a number of well-known asset pricing models using monthly data for 1975-2001. The models include consumption-based CAPM with power utility, the Epstein-Zin general equilibrium model with time non-separable preferences, CAPM, and the SDF model. We show that most of the theoretical models of the equity risk premium that have been proposed in the literature are special cases the SDF model. We explain why some of them are unable to do this as formulated. In addition to examining existing theories of the equity risk premium, we use the SDF model to generate new theories. We find that macroeconomic variables not previously considered, and not consistent with standard general equilibrium theory, such as production, appear to be priced for the equity risk premium. This suggests that traditional general equilibrium considerations may not be the sole explanation for the equity risk premium; other short-term factors associated with pure price risk may also be involved. A related, and rapidly growing, literature adopts a more statistical approach. It focusses on the empirical relation between the return on equity (or the Sharpe ratio) and return volatility. We use SDF theory to show that this relation is misconceived. The reason for the absence of estimates of the equity risk premium is the difficulty of estimating it. Most of the empirical evidence on these asset pricing models is based on calibration, or the estimation of the Euler equation by GMM, neither of which delivers an estimate of the risk premium. We use a new empirical approach that does produce estimates of the risk premium and allows tests of the theories. As a result we provide the first estimates of the equity risk premium for some of these models. We then use our estimates to investigate the importance of different components of the equity risk premium including, amongst others, return volatility.