Intraday Functional PCA Forecasting of Cryptocurrency Returns
ABSTRACT We study the functional PCA (FPCA) forecasting method in application to functions of intraday returns on Bitcoin. We show that improved interval forecasts of future return functions are obtained when the conditional heteroscedasticity of return functions is taken into account.
Joann Jasiak, Cheng Zhong
wiley +1 more source
Impact of Climate Change, Agricultural Credit and Inflation on Cereal Crop Productivity in Ethiopia: Novel Dynamic Simulated ARDL Approach. [PDF]
Cao J +4 more
europepmc +1 more source
Term Spread Volatility as a Leading Indicator of Economic Activity
ABSTRACT In this paper, we examine the macroeconomic predictive power of the volatility of the US Treasury yield curve slope (term spread volatility). Our forecasting exercise shows that US term spread volatility has significant predictive power for US industrial production and employment growth.
Anastasios Megaritis +3 more
wiley +1 more source
A lightweight neural network approach for predicting national Gross Domestic Product (LightNet-GDP) with regression benchmarks. [PDF]
Raghavendran CV +3 more
europepmc +1 more source
ABSTRACT This study investigates the predictive power of the term spread for forecasting economic activity across both conventional and unconventional monetary policy regimes. Utilizing data from 22 OECD countries spanning the period from 1985Q1 to 2024Q2, the analysis reveals that the term spread generally maintains its ability to predict GDP growth ...
Petri Kuosmanen, Juuso Vataja
wiley +1 more source
The effect of macroeconomic shocks on non-performing loans and credit risk in the iranian banking system using time-varying parameter vector autoregressions. [PDF]
Peykani P +4 more
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
Large language model-driven time-series forecasting of financial network indicators. [PDF]
Wang MH, Yeung Y.
europepmc +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
Formulation and validation of a regional household wealth index for sub-Saharan Africa. [PDF]
Razavi M, Gaba C, Crown W, Nandakumar A.
europepmc +1 more source

