142,785 research outputs found

    Development and Evaluation of Instrumented Soccer Equipment to Collect Ankle Joint Kinematics in the Field

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    Ankle sprains commonly occur during athletic competition and result in traumatic injury to the lateral ligament complex. Ankle ligament sprains are the most common injury type for intercollegiate soccer players and athletes that sustain lateral ankle sprains may lose game and/or practice time, have recurrent sprains due to ankle instability, incur proprioceptive deficits, and be at an increased risk of ankle osteoarthritis. The high rate of ankle injuries among soccer athletes demonstrates a need for novel and advanced data collection methodologies to reduce the incidence of lateral ankle sprains and improve injury prevention interventions. The purposes of this study were to develop instrumented soccer equipment to collect ankle joint kinematics in the field; establish the reliability and validity of a kinematic assessment using instrumented equipment during athletic maneuvers; and identify laboratory maneuvers that elicited game-like demands from athletes. Wireless orientation sensors were integrated into soccer shin guards and turf shoes. The instrumented equipment collected ankle joint kinematics during simulated athletic maneuvers in the laboratory and field. The simulated athletic maneuvers in the laboratory are commonly performed by soccer players and have been previously studied. Maneuvers included drop landing, drop jump, stop jump, and jump-stop cut. Drop landing and drop jump maneuvers resulted in poor to excellent reliability and very good to excellent validity. The stop jump maneuver resulted in poor to fair reliability and excellent validity. The jump-stop cut maneuver resulted in poor to excellent reliability and very good validity. The soccer-specific field maneuvers were jump header, moving jump header, and slalom. All maneuvers resulted in poor to good reliability. To identify laboratory maneuvers that elicited game-like demands, laboratory maneuvers of varied demand were compared to field maneuvers. Drop landing and drop jump maneuvers from a 60 cm platform elicited a similar response to the jump header maneuver. A jump distance recommendation for the stop jump maneuver was not warranted because jump distance did not significantly alter landing biomechanics. The instrumented equipment collected reliable and valid ankle joint kinematics in the sagittal plane and are a promising technology for in-game data collection and injury prevention

    Macroeconomic News, Announcements, and Stock Market Jump Intensity Dynamics

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    This paper examines the effect of macroeconomic releases on stock market volatility through a Poisson-Gaussian-GARCH process with time varying jump intensity, which is allowed to respond to such information. It is found that the day of the announcement, per se, has little impact on jump intensities. Employment releases are an exception. However, when macroeconomic surprises are considered, inflation shocks show persistent effects while monetary policy and employment shocks show only short-lived effects. Also, the jump intensity responds asymmetrically to macroeconomic shocks. Evidence that macroeconomic variables are relevant to explain jump dynamics and improve volatility forecasts on event days is provided.Conditional jump intensity, conditional volatility, macroeconomic announcements.

    Jump risk, time-varying risk premia, and technical trading profits

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    In this paper we investigate the recently documented trading profits based on technical trading rules in an asset pricing framework that incorporates jump risk and time-varying risk premia. Following Brock, Lakonishok, and LeBaron (1992), we apply popular technical trading rules to the daily S&P 500 index over a long period of time. Trading profits are examined using bootstrap simulation to address distributional anomalies. We estimate a variety of asset pricing models, including the random walk, autoregressive models, a combined jump diffusion model, and a combined model of jump-diffusion and autoregressive conditional heteroskedasticity. Technical trading profits are shown to be statistically significant for the pure diffusion models and autoregressive models, yet become less significant when jump risk is incorporated into the model and virtually disappear for an asset pricing model that incorporates both jump risk and time-varying risk premia. The empirical evidence suggests that technical trading profits could be fair compensation for the risk of price discontinuity as well as time-varying risk premia of asset returns. Alternatively, technical trading profits provide a test of specification of asset pricing models; in this vein the evidence provides support for the incorporation of jump risk into asset pricing models.Financial markets ; Prices

    On the Strong Approximation of Pure Jump Processes

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    This paper constructs strong discrete time approximations for pure jump processes that can be described by stochastic differential equations. Strong approximations based on jump-adapted time discretizations, which produce no discretization bias, are analyzed. The computational complexity of these approximations is proportional to the jump intensity. Furthermore, by exploiting a stochastic expansion for pure jump processes, higher order discrete time approximations, whose computational complexity is not dependent on the jump intensity, are proposed. The strong order of convergence of the resulting schemes is analyzed.pure jump processes; stochastic Taylor expansion; discrete time approximation; simulation; strong convergence

    [Letter from Henry D. Jump to Meyer Bodansky - August 1935]

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    Letter from Henry Jump to Meyer Bodansky informing him that a doctor he recommended for a chemistry teaching position has accepted the spot. The letter thanks Dr. Bodansky for his recommendation

    Optimum take-off angle in the standing long jump

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    The aim of this study was to identify and explain the optimum projection angle that maximises the distance achieved in a standing long jump. Five physically active males performed maximum-effort jumps over a wide range of take-off angles, and the jumps were recorded and analysed using a 2-D video analysis procedure. The total jump distance achieved was considered as the sum of three component distances (take-off, flight, and landing), and the dependence of each component distance on the take-off angle was systematically investigated. The flight distance was strongly affected by a decrease in the jumper’s take-off speed with increasing take-off angle, and the take-off distance and landing distance steadily decreased with increasing take-off angle due to changes in the jumper’s body configuration. The optimum take-off angle for the jumper was the angle at which the three component distances combined to produce the greatest jump distance. Although the calculated optimum take-off angles (19–27º) were lower than the jumpers’ preferred take-off angles (31–39º), the loss in jump distance through using a sub-optimum take-off angle was relatively small

    Consistency Problems For Jump-Diffusion Models

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    In this paper we examine a consistency problem for a multi-factor jump diffusion model. First we bridge a gap between a jump-diffusion model and a generalized Heath-Jarrow-Morton (HJM) model, and bring a multi- factor jump-diffusion model into the HJM framework. By applying the drift condition for a generalized arbitrage-free HJM model, we derive the general consistency condition for a jump-diffusion model. Then we consider the case that the forward rate function has a separable structure, and obtain a specific version of the general consistency condition. In particular, we provide the necessary and sufficient condition for a jump-diffusion model to be affine, which generalizes the result in Duffie and Kan (1996). Finally we discuss the Nelson-Siegel type of forward curve structure, and give the necessary and sufficient condition for the consistency of this class of models in the jump- diffusion case.Arbitrage-free Condition, HJM Models, Jump-Diffusion Models

    Static output-feedback stabilization of discrete-time Markovian jump linear systems: a system augmentation approach

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    This paper studies the static output-feedback (SOF) stabilization problem for discrete-time Markovian jump systems from a novel perspective. The closed-loop system is represented in a system augmentation form, in which input and gain-output matrices are separated. By virtue of the system augmentation, a novel necessary and sufficient condition for the existence of desired controllers is established in terms of a set of nonlinear matrix inequalities, which possess a monotonic structure for a linearized computation, and a convergent iteration algorithm is given to solve such inequalities. In addition, a special property of the feasible solutions enables one to further improve the solvability via a simple D-K type optimization on the initial values. An extension to mode-independent SOF stabilization is provided as well. Compared with some existing approaches to SOF synthesis, the proposed one has several advantages that make it specific for Markovian jump systems. The effectiveness and merit of the theoretical results are shown through some numerical example

    On Weak Predictor-Corrector Schemes for Jump-Diffusion Processes in Finance

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    Event-driven uncertainties such as corporate defaults, operational failures or central bank announcements are important elements in the modelling of financial quantities. Therefore, stochastic differential equations (SDEs) of jump-diffusion type are often used in finance. We consider in this paper weak discrete time approximations of jump-diffusion SDEs which are appropriate for problems such as derivative pricing and the evaluation of risk measures. We present regular and jump-adapted predictor-corrector schemes with first and second order of weak convergence. The regular schemes are constructed on regular time discretizations that do not include jump times, while the jump-adapted schemes are based on time discretizations that include all jump times. A numerical analysis of the accuracy of these schemes when applied to the jump-diffusion Merton model is provided.weak approximations; Monte Carlo simulations; predictor-corrector schemes; jump diffusions

    Effect of Using Hand-Weights on Performance in the Standing Long Jump

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    Previous standing long jump studies have shown that jumping with hand weights can significantly increase jumping performance. The purpose of this study was to investigate the mechanisms that enable performance improvement in the standing long jump when using hand weights and test the hypothesis that releasing the hand weights during flight can further increase jump distance. Four college-aged male subjects were chosen based on participation in athletic activities and physical ability. Each subject executed 24 jumps (six trials for each of four different standing long jump techniques: without weights, with weights, releasing the weights backwards near the high point of the jump, and releasing the weights just prior to landing). Joint positions were recorded using multiple high-speed cameras and reflective position markers on the body. The net joint moments were calculated using a 2D inverse dynamics analysis. An energy analysis of the system between jump initiation and takeoff was also performed. Results showed jumping with weights increased jump distance by an average of 9 cm while releasing them increased jump distance by another 7 cm. No significant difference in jump distance was found between the two release points. The mechanisms that enabled this performance improvement were a combination of increased kinetic energy stored in the hand weights before the propulsive phase, increased work performed by the muscles during the propulsive phase, and an increase in horizontal position of the center of mass at take-off. In addition performance was enhanced by releasing the weights backwards during flight due to conservation of linear momentum during the flight phase
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