Results 171 to 180 of about 11,165 (303)

Speaking Stata: Graphing distributions

open access: yes
Graphing univariate distributions is central to both statistical graphics, in general, and StataÕs graphics, in particular. Now that Stata 8 is out, a review of official and user-written commands is timely.
Nicholas J. Cox
core  

Alternative Data for Realised Volatility Forecasting: Limit Order Book and News Stories

open access: yesInternational Journal of Finance &Economics, EarlyView.
ABSTRACT We examine whether two major alternative data sources, limit order book information and firm‐specific news, provide incremental predictive information for daily realised volatility forecasting within the HAR‐family, using a parsimonious framework to ensure practical implementation and comparability. The framework is designed for practical real‐
Eghbal Rahimikia, Ser‐Huang Poon
wiley   +1 more source

How Does AI Empower Corporate ESG Practices? Mechanisms Based on Information Processing Theory

open access: yesInternational Journal of Finance &Economics, EarlyView.
ABSTRACT In the context of the latest technological revolution and industrial transformation, Artificial Intelligence (AI) provides new impetus for the development of corporate ESG practices. This study, based on data from 2630 A‐share listed companies in China from 2010 to 2022, examines the impact of AI on corporate ESG performance and its mechanisms
Qin Zhu, Shanshan Jiang, Anna Min Du
wiley   +1 more source

The Real Effect of Banking Globalisation on Bank Liquidity Creation in China's Banking Sector: Evidence From the Belt and Road Initiative

open access: yesInternational Studies of Economics, EarlyView.
ABSTRACT To explore the real effect of banking globalisation on bank liquidity creation, we investigate plausibly exogenous variations in the expectation of further banking globalisation under the Belt and Road Initiative (BRI), which further opens the gate to foreign investors.
Xuanyi Shi   +3 more
wiley   +1 more source

Bayesian Model Averaging in Causal Instrumental Variable Models

open access: yesJournal 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
wiley   +1 more source

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