Results 211 to 220 of about 1,227,664 (287)

Moving Aggregate Modified Autoregressive Copula‐Based Time Series Models (MAGMAR‐Copulas)

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT Copula‐based time series models can model univariate and stationary time series in a flexible way by decomposing the joint distribution of consecutive observations into a copula and the stationary distribution. Implicitly, this approach assumes a finite Markov order. In reality, a time series may not follow the Markov property.
Sven Pappert
wiley   +1 more source

Parametric Time‐Variation in the Unconditional Volatility: Estimation and Inference

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT We propose modeling time‐variation in the unconditional volatility by augmenting the standard GARCH model by a deterministic time‐varying intercept. The model, called the additive time‐varying (ATV‐)GARCH model, can be interpreted as a reduced form of a model including covariates and can be derived from a multiplicative decomposition of ...
Niklas Ahlgren   +2 more
wiley   +1 more source

Reinforcement Learning for Jump‐Diffusions, With Financial Applications

open access: yesMathematical 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

Adaptive Importance Sampling Estimation of an Open Economy Model With Fiscal Policy

open access: yesOxford Bulletin of Economics and Statistics, EarlyView.
ABSTRACT We propose and estimate an open economy general equilibrium model that includes international trade between Canada and the United States. We estimate our model using a new adaptive methodology based on the mixture of student's t$$ t $$ by Importance Sampling weighted Expectation–Maximisation (MitISEM).
Stefano Grassi   +2 more
wiley   +1 more source

Kalman Filter Learning, Bounded Rationality and Informational Consistency

open access: yesOxford Bulletin of Economics and Statistics, EarlyView.
ABSTRACT We develop a behavioural New Keynesian model with rational (RE) and boundedly rational (BR) agents. The latter are anticipated utility learners and use simple heuristic rules to forecast aggregate variables exogenous to their micro‐environment.
Szabolcs Deák   +3 more
wiley   +1 more source

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