Results 211 to 220 of about 2,320 (298)

Precautionary Saving against Correlation under Risk and Ambiguitya

open access: yesJournal of Money, Credit and Banking, EarlyView.
Abstract This paper considers precautionary saving against the correlation between two risky attributes (wealth and health) and investigates how the correlation affects optimal savings under multivariate preferences. The signs of higher‐order cross‐derivatives play a key role in determining the direction of precautionary saving against such correlation.
TAKAO ASANO, YUSUKE OSAKI
wiley   +1 more source

Shock Propagation within Multisector Firms

open access: yesJournal of Money, Credit and Banking, EarlyView.
Abstract This paper studies the role of multisector firms in the cross‐sectoral propagation of economic shocks. By leveraging an increase in import competition from China as a source of a negative economic shock, we show that employment of an establishment in a given industry is negatively affected by shocks that impact establishments operating in ...
JAY HYUN, ZIHO PARK, VLADIMIR SMIRNYAGIN
wiley   +1 more source

Demographic Dynamics and International Trade: Stylized Facts and Theoretical Insights

open access: yesJournal of Economic Surveys, EarlyView.
ABSTRACT Demographic change within a country has economic repercussions for other countries through international transactions. Ongoing shifts in population size and age structure across countries have important implications for international trade, operating through changes in market size, consumption preferences, and labor supply.
Kumuthini Sivathas
wiley   +1 more source

Nonparametric Inference of Conditional Expectile Functions in Large‐Scale Time Series Data With Improved Efficiency

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT Expectile is a coherent and elicitable law‐invariant risk measure widely applied in risk management. Existing methods based on iteratively reweighted least squares (IWLS) are not computationally efficient for large‐scale sample sizes. To overcome the issue, we develop a direct nonparametric conditional expectile function estimator by inverting
Feipeng Zhang, Ping‐Shou Zhong
wiley   +1 more source

Sparse Causal Dynamic Linear Regression

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT We develop a sparse causal dynamic regression framework for long multivariate time series. With very long time series, the potentially large number of lags and leads in a dynamic regression model often makes time‐domain estimation numerically unstable or intractable.
Rui Huang, Kung‐Sik Chan
wiley   +1 more source

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