On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

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8 results for “post-pandemic”

Mapping the Midweek Mountain: The New Geography of Hybrid Workq-fin.CP

Post-pandemic, work patterns shifted with fewer days in offices and a new midweek mountain.

problem Shift in work patterns and integration of personal and professional life.

method Behavioral analysis using mobile geolocation records.

result Significant decline in office-based workdays and emergence of a new midweek mountain.

work patterns post-pandemic hybrid work midweek mountain mobile geolocation

2026-03-19abs ↗pdf ↗

Integration of Wavelet Transform Convolution and Channel Attention with LSTM for Stock Price Prediction based Portfolio Allocationq-fin.ST

Paper proposes integrating wavelet transform, channel attention, and LSTM for better stock price prediction.

problem Inherently difficult stock price prediction due to low signal-to-noise ratio.

method Wavelet transform convolution, channel attention, and LSTM integration.

result Robust performance in post-pandemic market conditions.

stock price prediction portfolio allocation wavelet transform channel attention LSTM

2025-06-23abs ↗pdf ↗

Analysis of the Indian Chemical Industry in the Post-Covid Eraphysics.soc-ph

Analyzes Indian chemical industry post-Covid.

problem Global uncertainty impacts chemical industry performance.

method Fundamental analysis of key players and trends.

result Various geopolitical and macroeconomic trends shape industry performance.

Indian chemical industry post-Covid fundamental analysis global uncertainty macroeconomic trends

2021-08-13abs ↗pdf ↗

Modeling Excess Mortality and Interest Rates using Mixed Fractional Brownian Motionsq-fin.RM

Develops a bi-variate stochastic framework to model mortality and interest rates with long-range dependence.

problem Captures long-range dependence and instantaneous correlation in mortality and interest rates.

method Mixed fractional Brownian motions, analytical solutions, risk-neutral measure, sequential parameter estimation.

result Explicit pricing of zero-coupon bonds and extreme mortality bonds, practical implications for pricing and risk management.

fractional Brownian motions long-range dependence mortality rates interest rates stochastic modeling

2025-07-25abs ↗pdf ↗

What drives bitcoin? An approach from continuous local transfer entropy and deep learning classification modelsq-fin.ST

Bitcoin's price direction is better predicted without additional drivers during high volatility.

problem Predicting Bitcoin's price direction using various determinants.

method Continuous local transfer entropy for feature selection and deep learning classification model.

result Bitcoin's price direction can be better predicted without additional drivers during high volatility.

Bitcoin price direction transfer entropy deep learning volatility

2021-09-02abs ↗pdf ↗

Dual Interpretation of Machine Learning Forecastsecon.EM

New method interprets machine learning forecasts as historical analogies.

problem Interpreting machine learning predictions as a sum of predictor contributions.

method Expressing predictions as a linear combination of in-sample values with weights based on pairwise proximity scores.

result The approach provides sparser interpretations in settings with many regressors and little training data.

machine learning forecast interpretation historical analogies pairwise proximity ridge regression

2024-12-17abs ↗pdf ↗

Comparative Analysis of Machine Learning, Hybrid, and Deep Learning Forecasting Models Evidence from European Financial Markets and Bitcoinsq-fin.ST

Study compares forecasting models for European financial markets and cryptocurrencies, finding hybrid ETS-ANN model best.

problem Challenges in predicting financial market fluctuations and cryptocurrency prices.

method Comparative analysis of ARIMA, hybrid ETS-ANN, and kNN models on European financial markets and cryptocurrency data.

result Hybrid ETS-ANN model performs best over extended periods, with moderate accuracy.

Financial forecasting Machine learning Hybrid models Cryptocurrency European markets

2023-07-17abs ↗pdf ↗

The aftermath of the Covid pandemic in the forest sector: new opportunities for emerging wood productsq-fin.GN

Study analyzes impacts of COVID-19 on French forestry sector, finds mixed results in supply chain.

problem Impact of COVID-19 on forestry sector supply chain and future opportunities.

method Integrated methodology combining Material Flow Analysis and Wood Product Model.

result Significant disruptions and shifts in wood production, highlighting resilience and vulnerabilities.

COVID-19 Forestry sector Supply chain Material Flow Analysis Wood Product Model

2024-09-24abs ↗pdf ↗