All Stories

  1. Forecasting European economic policy uncertainty
  2. Economic announcements and the 10-year U.S. Treasury: Surprising findings without the surprise component
  3. Forecasting oil price realized volatility using information channels from other asset classes
  4. Multiple-days-ahead value-at-risk and expected shortfall forecasting for stock indices, commodities and exchange rates: Inter-day versus intra-day data
  5. A real time monitoring scheme of air pollution variables, based on financial time series models
  6. Intra-day realized volatility for European and USA stock indices
  7. Business cycle synchronisation in EMU: Can fiscal policy bring member-countries closer?
  8. Forecasting tourist arrivals using origin country macroeconomics
  9. US stock market regimes and oil price shocks
  10. Evaluation of realized volatility predictions from models with leptokurtically and asymmetrically distributed forecast errors
  11. A Probit Model for the State of the Greek GDP Growth
  12. Modelling and Forecasting High Frequency Financial Data
  13. Intraday Realized Volatility Measures
  14. Methods of Volatility Estimation and Forecasting
  15. Recent Methods: A Review
  16. Realized Volatility Forecasting: Applications
  17. Multiple Model Comparison and Hypothesis Framework Construction
  18. Introduction to High Frequency Financial Modelling
  19. Intraday Hedge Ratios and Option Pricing
  20. Business Cycle Synchronization in EU: A Time-Varying Approach
  21. Multivariate modelling of 10-day-ahead VaR and dynamic correlation for worldwide real estate and stock indices
  22. The Effects of Oil Price Shocks on Stock Market Volatility: Evidence from European Data
  23. Oil and stock returns: Evidence from European industrial sector indices in a time-varying environment
  24. Modeling CAC40 volatility using ultra-high frequency data
  25. VaR & ES predictions
  26. Realized volatility or price range: Evidence from a discrete simulation of the continuous time diffusion process
  27. A Monte Carlo Simulation Approach to Forecasting Multi-period Value-at-Risk and Expected Shortfall Using the FIGARCH-skT Specification
  28. Evaluating value‐at‐risk models before and after the financial crisis of 2008
  29. Dynamic correlation between stock market and oil prices: The case of oil-importing and oil-exporting countries
  30. Hedge Ratios in South African Stock Index Futures
  31. ARCH Models for Financial Applications
  32. Trade transparency and trading volume: the possible impact of the financial instruments markets directive on the trading volume of EU equity markets
  33. Is PEAD a consequence of the presence of the cognitive bias of self-attribution in investors' expectations regarding permanent earnings? Evidence from Athens Stock Exchange
  34. Rolling-sampled parameters of ARCH and Levy-stable models
  35. Volatility forecasting: Intra-day versus inter-day models
  36. SPEC model selection algorithm for ARCH models: an options pricing evaluation framework
  37. ARFIMAX and ARFIMAX-TARCH realized volatility modeling
  38. Forecasting one‐day‐ahead VaR and intra‐day realized volatility in the Athens Stock Exchange Market
  39. Backtesting VaR models:a two-stage procedure
  40. Assessing the performance of a prediction error criterion model selection algorithm in the context of ARCH models
  41. Simulated evidence on the distribution of the standardized one-step-ahead prediction errors in ARCH processes
  42. A robust VaR model under different time periods and weighting schemes
  43. Backtesting VaR Models: An Expected Shortfall Approach
  44. Modeling risk for long and short trading positions
  45. Evaluating volatility forecasts in option pricing in the context of a simulated options market
  46. Modeling Risk: VaR Methods for Long and Short Trading Positions
  47. Robust VaR Model
  48. Volatility Forecasting: The Illusion of Choosing One Model in All Cases
  49. On the Independence of the Standardized One-Step-Ahead Prediction Errors in ARCH Models
  50. The Impact of the EC Financial Instruments Markets Directive on the Trading Volume of EU Equity Markets
  51. Predictability and model selection in the context of ARCH models
  52. Volatility forecasting: evidence from a fractional integrated asymmetric power ARCH skewed-t model
  53. The use of GARCH models in VaR estimation
  54. Autoregressive Conditional Heteroscedasticity (ARCH) Models: A Review