Open AccessEstimating the Expected Shortfall in MYOR Stock Using the ARIMA-GARCH Model
Author(s) -
Jumadil Saputra,
Alberto Simanjuntak
Publication year - 2021
Publication title -
international journal of global operations research
Language(s) - English
Resource type - Journals
eISSN - 2723-1747
pISSN - 2722-1016
DOI - 10.47194/ijgor.v2i3.89
Subject(s) - econometrics , autoregressive integrated moving average , autoregressive conditional heteroskedasticity , stock (firearms) , volatility (finance) , heteroscedasticity , economics , autoregressive model , time series , financial economics , mathematics , statistics , engineering , mechanical engineering
Stocks are one of the best-known forms of investment and are still used today. In stock investment, it is necessary to know the movement and risk of loss that may be obtained from the stock investment so that investors can consider the possibility of profit. One way of calculating risk is to use the Expected Shortfall (ES). Because the stock movement is in the form of a time series, a model can be formed to predict the movement of the stock which can then be used for ES calculations using time series analysis. The purpose of the study was to determine the expected shortfall value of MYOR shares using time series analysis. The data used for this research is the daily closing price of shares for three years. In the time series analysis stage, the models used in predicting stock movements are Autoregressive Integrated Moving Average (ARIMA) for the mean model and Generalized Autoregressive Conditional Heteroscedasticity (GARCH) for the volatility model. The average value and variance obtained from the model are then used in calculating the ES on MYOR stock. Based on the results of the study, it was obtained that MYOR's stock had an ES of 0.050772. This means if an investment is made for MYOR shares of IDR 1,000,000.00 for 37 days (5% of 751 days) for an investment period with a 95% confidence level, the expected loss to be borne by the investor is IDR 50,772.00.