Macroeconomic Statistics Matching Evaluation—In Xinjiang
openaire +1 more source
ESG disclosure quality and firm valuation under economic policy uncertainty: Evidence from Chinese A-share listed firms. [PDF]
Tang CH, Luo F.
europepmc +1 more source
ABSTRACT Most studies on inflation forecasts have studied behavioral biases, informational frictions, or external shocks in isolation, without considering how these factors jointly drive deviations from rational expectations. We therefore adopt an integrated framework that simultaneously estimates the behavioral, informational, and external ...
Belen Chocobar, Peter Claeys
wiley +1 more source
ABSTRACT Sustainability has become an important factor shaping financial markets and investor behavior. This paper examines the relationship between sustainability indices and Central European stock markets using a time–frequency approach. Wavelet coherence is employed to capture time‐varying co‐movements between sustainability indices and stock market
Zuzana Janková +4 more
wiley +1 more source
Assessing the Macroeconomic Determinants of International Tourist Arrival in India: An ARDL Bounds Testing Approach. [PDF]
Singh AK +7 more
europepmc +1 more source
Evaluating Forecasts at Multiple Horizons: An Extension of the Diebold–Mariano Approach
ABSTRACT Forecast accuracy tests are fundamental tools for comparing competing predictive models. The widely used Diebold–Mariano (DM) test assesses whether differences in forecast errors are statistically significant. However, its standard form is limited to pairwise comparisons at a single forecast horizon.
Andrew Grant +2 more
wiley +1 more source
Comparing Sociodemographic, Health Status and Resources, Macroeconomic Status, and Environmental Factors on Infant Mortality Rates in Bahrain, Kuwait, and Oman: Longitudinal Time-Series Study. [PDF]
Al-Saqry MY +3 more
europepmc +1 more source
Oil Futures Prices, Inflation Expectations, and Bond Risk Premiums
ABSTRACT By decomposing West Texas Intermediate futures price changes into structural supply and demand shocks, this paper shows that dissecting the oil price significantly improves inflation forecasts. Empirically, demand‐driven shocks predict a negative real bond risk premium but a positive inflation risk premium; these opposing effects result in an ...
Haibo Jiang
wiley +1 more source
Risk-Sensitive Machine Learning for Financial Decision Modeling Under Imbalanced Data: Evidence from Bank Telemarketing. [PDF]
Dong B +8 more
europepmc +1 more source
The Role of Price‐Volatility Cojumps in Volatility Forecasting
ABSTRACT This paper investigates whether simultaneous jumps in prices and volatility improve volatility forecasting. Using up‐to‐date high‐frequency S&P 500 and VIX data, we identify price‐volatility cojumps at the intraday granularity and construct upside, downside, and asymmetric measures.
Kefu Liao
wiley +1 more source

