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Time series prediction: A combination of long short-term memory and structural time series models

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Stock market is an important capital mobilization channel for economy. However, the market has potential loss due to fluctuations of stock prices to reflect uncertain events such as political news, supply and demand of daily trading volume. There are many approaches to reduce risk such as portfolio construction and optimization, hedging strategies. |

TÀI LIỆU LIÊN QUAN

Lecture Applied econometric time series (4e) - Chapter 2: Stationary time-series models

Lecture Applied econometric time series (4e) - Chapter 5: Multiequation time-series models

Time Series Forecasting – Part I

Appendix A: An Overview on Time Series Data Mining

Lecture Applied econometric time series (4e) - Chapter 1: Difference equations

Lecture Applied econometric time series (4e) - Chapter 3: Modeling volatility

Lecture Applied econometric time series (4e) - Chapter 6: Cointegration and error-correction models

Lecture Applied econometric time series (4e) - Chapter 7: Nonlinear models and breaks

Summary of Mathematics Doctoral Dissertation: Apply Markov chains model and fuzzy time series for forecasting

Similarity search for numerous patterns over multiple time series streams under dynamic time warping which supports data normalization
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