7,748 research outputs found

    Growth options and firm valuation

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    This paper studies the relation between firm value and a firm's growth options. We find strong empirical evidence that (average) Tobin's Q increases with firm-level volatility. However, the significance mainly comes from R&D firms, which have more growth options than non-R&D firms. By decomposing firm-level volatility into its systematic and unsystematic part, we also document that only idiosyncratic volatility (ivol) has a significant effect on valuation. Second, we analyze the relation of stock returns to realized contemporaneous idiosyncratic volatility and R&D expenses. Single sorting according to the size of idiosyncratic volatility, we only find a significant ivol anomaly for non-R&D portfolios, whereas in a four-factor model the portfolio alphas of R&D portfolios are all positive. Double sorting on idiosyncratic volatility and R&D expenses also reveals these differences between R&D and non-R&D firms. To simultaneously control for several explanatory variables, we also run panel regressions of portfolio alphas which confirm the relative importance of idiosyncratic volatility that is amplified by R&D expenses

    An error estimate of Gaussian Recursive Filter in 3Dvar problem

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    Computational kernel of the three-dimensional variational data assimilation (3D-Var) problem is a linear system, generally solved by means of an iterative method. The most costly part of each iterative step is a matrix-vector product with a very large covariance matrix having Gaussian correlation structure. This operation may be interpreted as a Gaussian convolution, that is a very expensive numerical kernel. Recursive Filters (RFs) are a well known way to approximate the Gaussian convolution and are intensively applied in the meteorology, in the oceanography and in forecast models. In this paper, we deal with an oceanographic 3D-Var data assimilation scheme, named OceanVar, where the linear system is solved by using the Conjugate Gradient (GC) method by replacing, at each step, the Gaussian convolution with RFs. Here we give theoretical issues on the discrete convolution approximation with a first order (1st-RF) and a third order (3rd-RF) recursive filters. Numerical experiments confirm given error bounds and show the benefits, in terms of accuracy and performance, of the 3-rd RF.Comment: 9 page

    Estimative for the size of the compactification radius of a one extra dimension Universe

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    In this work, we use the Casimir effect to probe the existence of one extra dimension. We begin by evaluating the Casimir pressure between two plates in a M4Ă—S1M^4\times S^1 manifold, and then use an appropriate statistical analysis in order to compare the theoretical expression with a recent experimental data and set bounds for the compactification radius

    Schoolbooks and Shackles: The Undue Hardship Standard and Treatment of Student Debt at Bankruptcy

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    Individual debtors who file for Chapter 7 bankruptcy can discharge most of their pre-petition debts and emerge from bankruptcy with a financial “fresh start.” Student loan debt is one of the few exceptions to this general policy. Congress created the student loan discharge exception, 11 U.S.C. § 523(a)(8), to prevent student debtors from abusing the bankruptcy system. Specifically, Congress sought to prevent students who graduated from higher education programs from discharging their debts at bankruptcy, and then beginning lucrative careers. Congress, however, included an important carve-out to this exception for debtors whose loans impose an “undue hardship.” The undue hardship standard has created myriad problems for bankruptcy judges because Congress left the term undefined in the Bankruptcy Code. Thus, courts developed a variety of tests for undue hardship, most notably the Johnson, Bryant, Brunner, and Totality tests. The Brunner test, which the majority of bankruptcy courts apply, imposes an extremely demanding burden on debtors to show undue hardship. Today, with student debt and tuition costs reaching unprecedented levels, Congress should reconsider the Bankruptcy Code’s treatment of student debt. This Note argues that Congress should amend the Bankruptcy Code to define undue hardship based on the Totality test used by a minority of courts. This change would promote national uniformity and would give honest student debtors an attainable opportunity for student loan discharge. In the context of the modern student debt crisis, this relatively moderate reform would significantly help millions of student debtors

    Advances in surface EMG signal simulation with analytical and numerical descriptions of the volume conductor

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    Surface electromyographic (EMG) signal modeling is important for signal interpretation, testing of processing algorithms, detection system design, and didactic purposes. Various surface EMG signal models have been proposed in the literature. In this study we focus on 1) the proposal of a method for modeling surface EMG signals by either analytical or numerical descriptions of the volume conductor for space-invariant systems, and 2) the development of advanced models of the volume conductor by numerical approaches, accurately describing not only the volume conductor geometry, as mainly done in the past, but also the conductivity tensor of the muscle tissue. For volume conductors that are space-invariant in the direction of source propagation, the surface potentials generated by any source can be computed by one-dimensional convolutions, once the volume conductor transfer function is derived (analytically or numerically). Conversely, more complex volume conductors require a complete numerical approach. In a numerical approach, the conductivity tensor of the muscle tissue should be matched with the fiber orientation. In some cases (e.g., multi-pinnate muscles) accurate description of the conductivity tensor may be very complex. A method for relating the conductivity tensor of the muscle tissue, to be used in a numerical approach, to the curve describing the muscle fibers is presented and applied to representatively investigate a bi-pinnate muscle with rectilinear and curvilinear fibers. The study thus propose an approach for surface EMG signal simulation in space invariant systems as well as new models of the volume conductor using numerical methods
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