Yasemen Ucan
Economics and Econometrics · 2020
A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Economics and Econometrics — 12 citations into it
- Finance — 7 citations into it
Whom Yasemen Ucan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Yasemen Ucan's perspective
Ordered by how strongly the researchers Yasemen Ucan trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation
- Learning to Forget: Continual Prediction with LSTM
- Maximum likelihood estimation of STAR and STAR-GARCH models: theory and Monte Carlo evidence
- Comparing Predictive Accuracy
- A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity
- Using neural networks for forecasting volatility of S&P 500 Index futures prices
- Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm
- Chaos in oil prices? Evidence from futures markets
- Forecasting oil prices: Smooth transition and neural network augmented GARCH family models
Their papers
- Analyzing Crude Oil Prices under the Impact of COVID-19 by Using LSTARGARCHLSTM (2020) — 69 citations