Using neural network for forecasting TXO price under different volatility models

نویسندگان

  • Ching-Ping Wang
  • Shin-Hung Lin
  • Hung-Hsi Huang
  • Pei-Chen Wu
چکیده

Graduate Institute of Finance, Economics, and Business Decision, National Kaohsiung University of Applied Sciences, No. 415, Jiangong Rd., Sanmin District, Kaohsiung City 80778, Taiwan Department of Finance, National Yunlin University of Science & Technology, No. 123, University Rd., Section 3, Douliou City 64002, Taiwan Department of Banking and Finance, National Chiayi University, No. 580, Sinmin Rd., Chiayi City 60054, Taiwan Graduate Institute of Finance, National Pingtung University of Science and Technology, No. 1, Hseuhfu Rd., Neipu, Pingtung 91201, Taiwan

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Comparing the performance of GARCH (p,q) models with different methods of estimation for forecasting crude oil market volatility

The use of GARCH models to characterize crude oil price volatility is widely observed in the empirical literature. In this paper the efficiency of six univariate GARCH models and two methods of estimation the parameters for forecasting oil price volatility are examined and the best method for forecasting crude oil price volatility of Brent market is determined. All the examined models in this p...

متن کامل

A Neural-Network Approach to the Modeling of the Impact of Market Volatility on Investment

In recent years, authors have focused on modeling and forecasting volatility in financial series it is crucial for the characterization of markets, portfolio optimization and asset valuation. One of the most used methods to forecast market volatility is the linear regression. Nonetheless, the errors in prediction using this approach are often quite high. Hence, continued research is conducted t...

متن کامل

A New Iterative Neural Based Method to Spot Price Forecasting

Electricity price predictions have become a major discussion on competitive market under deregulated power system. But, the exclusive characteristics of electricity price such as non-linearity, non-stationary and time-varying volatility structure present several challenges for this task. In this paper, a new forecast strategy based on the iterative neural network is proposed for Day-ahead price...

متن کامل

Forecasting Crude Oil prices Volatility and Value at Risk: Single and Switching Regime GARCH Models

Forecasting crude oil price volatility is an important issues in risk management. The historical course of oil price volatility indicates the existence of a cluster pattern. Therefore, GARCH models are used to model and more accurately predict oil price fluctuations. The purpose of this study is to identify the best GARCH model with the best performance in different time horizons. To achieve th...

متن کامل

Natural Gas Price Forecasting using Kriging Interpolation Technique and Neldar-Mead Optimization Algorithm

The prediction of economic series with high volatility and high uncertainty - such as natural gas prices - is always a challenge in econometric models, because the use of traditional linear modeling models does not allow us to predict complex and nonlinear time series. Regarding the prediction of natural gas prices,  findings point to superiority of the neural network compared to regression mod...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Expert Syst. Appl.

دوره 39  شماره 

صفحات  -

تاریخ انتشار 2012