Econometrician Explained: Roles, Methods, and Economic Impact

Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...

What Is White Noise? Meaning, Examples, and Common Uses

White noise is a random signal with equal power across frequencies, commonly heard as static, and widely used in acoustics ...
Daily Excelsior

Machine Learning Methods Used for Portfolio Optimization and Risk Management

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

Productivity accelerates to its fastest pace in two years

Labor productivity accelerated in the third quarter to the strongest pace in two years, adding to evidence that efficiency ...

Research Associate Vacancy At Asian Development Bank Institute Tokyo

Apply for research associate roles at Asian Development Bank Institute Tokyo office by January 20, 2026, with required ...
GitHub

Is Mamba Effective for Time Series Forecasting?

We propose S-Mamba, a Mamba-based model for time series forecasting, which delegates the extraction of inter-variate correlations and temporal dependencies to a bidirectional Mamba block and a ...
Scientific Research Publishing

Inflation Co-Movement Dynamics in SADC: A Continuous Wavelet Analysis ()

This study examines the co-movement dynamics of inflation rates among Southern African Development Community (SADC) member ...
IEEE

Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer

Since labeled samples are typically scarce in real-world scenarios, self-supervised representation learning in time series is critical. Existing approaches mainly employ the contrastive learning ...
GitHub

Time Series Foundation Model - TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting

The official code for ["TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)"]. TEMPO is one of the very first open source Time Series Foundation Models for ...
IEEE

Profit Prediction Using ARIMA, SARIMA and LSTM Models in Time Series Forecasting: A Comparison

Abstract: Time series forecasting using historical data is significantly important nowadays. Many fields such as finance, industries, healthcare, and meteorology use it. Profit analysis using ...