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2. Nowcasting GDP using machine learning methods: Nowcasting GDP using machine...
3. Can Text-Based Statistical Models Reveal Impending Banking Crises?
4. Forecasting oil commodity spot price in a data-rich environment: Forecasting oil commodity spot price in a data-rich environment
5. Gauging growth risk in an international financial centre: some evidence from Singapore: Gauging growth risk in an international financial centre…
6. Stochastic instability: a dynamic quantile approach
7. Threshold mixed data sampling logit model with an application to forecasting US bank failures: Threshold mixed data sampling logit model with an...
8. Application of empirical wavelet transform, particle swarm optimization, gravitational search algorithm and long short-term memory neural network to copper price forecasting
9. Greymodels: A Shiny Package for Grey Forecasting Models in R: Greymodels: A Shiny...
10. Economic Policy Uncertainty and Volatility Spillovers Among International Stock Market Indices During the COVID-19 Outbreak
11. Dynamic effects of blockchain on financial markets: evidence from TVP-Bayesian VAR with a connectedness approach
12. Early warning system to predict energy prices: the role of artificial intelligence and machine learning
13. The methodology for identifying factors contributing to the acceptance of behavioral change-led policies: the case of stay-at-home requests during the COVID-19 pandemic in Japan
14. AI for climate change: unveiling pathways to sustainable development through greenhouse gas emission predictions
15. Spatial process-based transfer learning for prediction problems
16. Oil shocks and state-level stock market volatility of the United States: a GARCH-MIDAS approach
17. Can we trust machine learning to predict the credit risk of small businesses?
18. Quarterly Data Forecasting Method Based on Extended Grey GM(2, 1, Σsin) Model and Its Application in China’s Quarterly GDP Forecasting
19. Volatility in U.S. Housing Sector and the REIT Equity Return
20. Diversification benefits of green bonds in China: a dynamic robust optimization approach: Diversification benefits of green...
21. Evaluating Density Forecasts Using Weighted Multivariate Scores in a Risk Management Context
22. Forecasting Bank Failure in the U.S.: A Cost-Sensitive Approach
23. Macroeconomic attention and commodity market volatility
24. Increasing the Hong Kong Stock Market Predictability: A Temporal Convolutional Network Approach
25. Daily middle-term probabilistic forecasting of power consumption in North-East England
26. A Barndorff-Nielsen and Shephard model with leverage in Hilbert space for commodity forward markets
27. Trends and persistence in global olive oil prices after COVID-19
28. Machine learning forecasting in the macroeconomic environment: the case of the US output gap
29. Can wage changes solve the labour crisis in the National Health Service?: Can wage changes solve the labour crisis…
30. Macroeconomic Nowcasting: What can Central Banks Learn from a Structured Literature Review?
31. Machine learning-based variable selection for clustered credit risk modeling: Machine learning-based variable selection...
32. Complementarities between algorithmic and human decision-making: The case of antibiotic prescribing
33. Interest rate uncertainty and the shape of the yield curve of U.S. treasury bonds
34. Systematizing Macroframework Forecasting: High-Dimensional Conditional Forecasting with Accounting Identities
35. Neural Network for Valuing Bitcoin Options Under Jump-Diffusion and Market Sentiment Model
36. Superior forecasting with simple AR(1) models in a low-volatility environment: evidence from the CAT bond market
37. A news-based economic policy uncertainty index for Nigeria
38. Point forecasts of the price of crude oil: an attempt to “beat” the end-of-month random-walk benchmark
39. Predicting expected idiosyncratic volatility: Empirical evidence from ARFIMA, HAR, and EGARCH models
40. Unveiling the impact of machine learning algorithms on the quality of online geocoding services: a case study using COVID-19 data: Unveiling the impact of machine learning algorithms on the…
41. Modelling commodity market volatility with climate policy uncertainty: a GARCH-MIDAS approach
42. Development and Validation of a Real-Time Happiness Index Using Google Trends™
43. A real-time regional accounts database for Germany with applications to GDP revisions and nowcasting
44. Measuring and Forecasting Stock Market Volatilities with High-Frequency Data
45. The exponential HEAVY model: an improved approach to volatility modeling and forecasting
46. Quantifying Risks to Sovereign Market Access
47. Evaluating ensemble learning techniques for stock index trend prediction: a case of China
48. Optimum Level of Currency Reserves: Investigation and Forecasting of Indian Rupee Using ARIMA Model
49. Enhancing Long-Term GDP Forecasting with Advanced Hybrid Models: A Comparative Study of ARIMA-LSTM and ARIMA-TCN with Dense Regression
50. An Alternative Approach for Determining the Time-Varying Decay Parameter of the Nelson-Siegel Model
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