Results 61 to 70 of about 8,085 (191)
Preemptive Entry and Technology Diffusion: The Market for Drive‐In Theaters
The RAND Journal of Economics, EarlyView.ABSTRACT This article studies entry preemption in new industries. We first test a key prediction of dynamic entry games: Entry preemption is most relevant in intermediate‐sized markets, where firms face highest uncertainty about future entry. Using US drive‐in theater market (1945–1957) data, we find robust evidence for this non‐monotonic relationship ...
Ricard Gil +3 more
wiley +1 more source
From tetrachoric to kappa: How to assess reliability on binary scales
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Reliability is crucial in psychometrics, reflecting the extent to which a measurement instrument can discriminate between individuals or items. While classical test theory and intraclass correlation coefficients are well‐established for quantitative scales, estimating reliability for binary outcomes presents unique challenges due to their ...
Sophie Vanbelle
wiley +1 more source
Complementary Romanovski-Routh polynomials and their zeros
Trends in Computational and Applied MathematicsThe efficacy of numerical methods like integral estimates via Gaussian quadrature formulas depends on the localization of the zeros of the associated family of orthogonal polynomials.
L. L. Silva Ribeiro +2 more
doaj +1 more source
Life Cycle Consumption and Portfolio Choice Under Real Interest Rate Risk
Financial Management, EarlyView.ABSTRACT We set up a life cycle model with real interest rate risk to demonstrate that real interest rates have implications for optimal household consumption and investments. Lower interest rates lead to higher optimal stock investments and lower consumption.
Marcel Fischer, Natascha Jankowski
wiley +1 more source
Boundary integral based polygon wall representation in the MPS method
Nihon Kikai Gakkai ronbunshu, 2018 The particle methods are suited to simulate fluid flow problems with large boundary deformation. The moving particle semi-implicit (MPS) method is one of the representative particle methods for incompressible flow.
Takuya MATSUNAGA +2 more
doaj +1 more source
Specification Tests for Jump‐Diffusion Models Based on the Characteristic Function
International Statistical Review, EarlyView.Summary Goodness‐of‐fit tests are suggested for several popular jump‐diffusion processes. The suggested test statistics utilise the marginal characteristic function of the model and its L2‐type discrepancy from an empirical counterpart. Model parameters are estimated either by minimising the aforementioned L2‐type discrepancy or by maximum likelihood ...
Gerrit Lodewicus Grobler +3 more
wiley +1 more source
Mixing It Up: Inflation at Risk
Journal of Money, Credit and Banking, EarlyView.Abstract Understanding how risk factors shape the economic outlook is essential for guiding policy decisions. This paper develops a flexible framework that decomposes distributional risk forecasts of macro‐economic variables into underlying contributions and supports the construction of interpretable risk measures.
MAXIMILIAN SCHRÖDER
wiley +1 more source
Dynamic capital allocation in general insurance
Journal of Risk and Insurance, EarlyView.Abstract This paper provides a model for allocating capital to different insurance lines with varying development periods for a value‐maximizing insurance company. In our model, the company makes capitalization and exposure decisions considering its capital level and its relevant loss history.
Qiheng Guo +2 more
wiley +1 more source
High-degree spherical simplex-radial cubature quadrature Kalman filter
Tongxin xuebao, 2017 A high-degree spherica1 simp1ex-radia1 cubature quadrature Ka1man fi1ter（HDSSRCQKF）was proposed to improve the estimation accuracy of non1inear Ka1man fi1ter.The non1inear Gaussian weighted integra1 was decomposed into the spherica1 integra1 and radia1 ...
Zhao-ming LI +3 more
doaj +2 more sources
Reinforcement Learning for Jump‐Diffusions, With Financial Applications
Mathematical Finance, EarlyView.ABSTRACT We study continuous‐time reinforcement learning (RL) for stochastic control in which system dynamics are governed by jump‐diffusion processes. We formulate an entropy‐regularized exploratory control problem with stochastic policies to capture the exploration–exploitation balance essential for RL.
Xuefeng Gao, Lingfei Li, Xun Yu Zhou
wiley +1 more source