Results 181 to 190 of about 4,554 (226)
Kernel embeddings and the separation of measure phenomenon. [PDF]
Proc Natl Acad Sci U S ASantoro LV, Waghmare KG, Panaretos VM.
europepmc +1 more source
Exchange Rates and Sovereign Risk: A Nonlinear Approach Based on Local Gaussian Correlations
International Journal of Finance &Economics, EarlyView.ABSTRACT We empirically assess the interlinkages between sovereign risk, measured in terms of CDS spreads, and exchange rates for a sample of emerging markets. Our period of analysis includes episodes of severe stress, such as the Global Financial Crisis, the COVID‐19 pandemic, and the Ukrainian War.
Reinhold Heinlein +2 more
wiley +1 more source
Mesoscale Steady-State Dynamics Modeling and Parametric Analysis of the Viscoelastic Response of Asphalt-Bonded Calcareous Sand. [PDF]
Materials (Basel)Xie L, Pang B, Cao P, Wang J, Tan Z.
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On the Evolution of the Stock Market Efficiency: Evidence From Emerging Markets
International Studies of Economics, EarlyView.ABSTRACT The study of market efficiency is one of the most covered topics in the field of financial markets, with the Efficient Market Hypothesis gathering devotees as well as several critics. The perception of markets as agents with an adaptive nature gave rise to the Adaptive Market Hypothesis (AMH).
Júlio Lobão, Luís Pacheco, Nuno Cruz
wiley +1 more source
Independent Increments and Group Sequential Tests. [PDF]
Stat MedTsiatis AA, Davidian M.
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Revisiting EWMA in High‐Frequency‐Based Portfolio Optimization: A Comparative Assessment
Journal of Applied Econometrics, EarlyView.ABSTRACT This paper compares the statistical and economic performance of state‐of‐the‐art high‐frequency (HF) based multivariate volatility models with a simpler, widely used alternative, the Exponentially Weighted Moving Average (EWMA) filter. Using over two decades of 100 U.S.
Laura Capera Romero, Anne Opschoor
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Journal of Applied Econometrics, EarlyView.ABSTRACT We present four novel tests of equal predictive accuracy and encompassing á Pitarakis (2023, 2025) for factor‐augmented regressions. Factors are estimated using cross‐section averages (CAs) of grouped series and our theoretical findings are empirically relevant: asymptotic normality, robustness to an overspecification of the number of factors,
Alessandro Morico, Ovidijus Stauskas
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Journal of Applied Econometrics, EarlyView.ABSTRACT Double/debiased machine learning (DML) uses for estimating an average treatment effect (ATE) a double‐robust score function that relies on the prediction of nuisance functions, such as the propensity score, which is the probability of treatment assignment given covariates.
Daniele Ballinari, Nora Bearth
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A Joint Test of Unconfoundedness and Common Trends
Journal of Applied Econometrics, EarlyView.ABSTRACT We introduce an overidentification test of two alternative assumptions to identify the average treatment effect on the treated in a two‐period panel data setting: unconfoundedness and common trends. Under unconfoundedness, treatment assignment and post‐treatment outcomes are independent, conditional on control variables and pre‐treatment ...
Martin Huber, Eva‐Maria Oeß
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Bayesian Model Averaging in Causal Instrumental Variable Models
Journal of Applied Econometrics, EarlyView.ABSTRACT Instrumental variables are a popular tool to infer causal effects under unobserved confounding, but choosing suitable instruments is challenging in practice. We propose gIVBMA, a Bayesian model averaging procedure that addresses this challenge by averaging across different sets of instrumental variables and covariates in a structural equation ...
Gregor Steiner, Mark Steel
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