Today's precipitation is growing increasingly variable, making forecasting difficult. The Indian Meteorological Department (IMD) currently employs Composite and Stochastic approaches to forecast spring storm in Asia. As a corollary, planners are unlikely predict the macroeconomic effects of disasters (due excessive precipitation) or famine (less precipitation). amount that drops dependent on va...

This special issue of Model Assisted Statistics and Applications (MASA) focused on knowing how current machine learning methods can be applied to diverse statistics areas. We have ten papers about the recent machine learning developments and applications, including survey sampling, biostatistics, bioinformatics, genetics, time series analysis, and technology forecasting. The issue starts with a...

For an Investor, modelling and forecasting the stock prices are very important. Stock price fluctuate as time goes these changes vary from one point of to another. These can be really dangerous if ignored because risk loss it might create. Many models have been created with purpose minimizing loss. In this study, ARIMA-GARCH model will used predict closing in which contain volatility. The reaso...

Saham merupakan produk pasar modal yang menjadi salah satu instrumen investasi. Banyak investor memilih saham sebagai investasi dikarenakan memberikan keuntungan menarik. Metode estimasi metode tepat bagi para untuk memprediksi harga sehingga dapat membantu mengoptimalkan keuntungannya. Penelitian ini bertujuan menentukan model terbaik dari data menggunakan ARCH-GARCH dan mendapatkan hasil Kalm...

Buying and selling transactions are always used by humans to meet their needs. One of the transaction tools is money. Each country has its own currency including Japan, with Yen continues experience a significant decline throughout April 2022 exceeding 5-10%. Therefore, it necessary anticipate rate increase/decrease in Yen. After testing forecasting, was concluded that most appropriate model fo...

Forecasting financial markets is an important issue in finance area and research studies. On one hand, the importance of prediction, and on the other hand, its complexity, have led to huge number of researches which have proposed many forecasting methods in this area. In this study, we propose a hybrid model including Wavelet Transform, ARMA-GARCH and Artificial Neural Network (ANN) for single-...