Analysıs of Market Rısk in Stock Investment Usıng Value at Rısk Method (Study on Manufacturıng Companıes in Lq-45 Lısted on Indonesıa Stock Exchange)

Abstract

Capital flows as one part of this economic growth is sourced from the capital markets namely Indonesia stock exchange. The capital markets have a function of economics because capital markets provide a facility or vehicle which brings together two interests, namely those who have excess funds and those who need funds. Before investing, investors should set a goal of investing and the magnitude of the funds invested. Any investment decisions taken have the risks borne by the investor, either investment in bonds or stocks. Stocks with known characteristics of high risk-high return, which means the stock provides an opportunity to earn high profits but also potentially high loss risk. Value at Risk (VaR) models has been extensively used not only in the banking sector but also in calculating in many sectors. The aim of this paper is to outline Value at Risk methodology by giving more emphasis on variance-covariance method, historical simulation, and Monte Carlo model. The model used to investigate the applicability and usefulness of VaR in stock investment in Indonesia Manufacturing companies. Using the methodologies as described, the maximum potential loss on each stock and its portfolio of nine stocks calculated at 95% confidence level. The models were validated using backtesting and Kupiec test. The research found that there are different results of VaR calculated using variance-covariance, historical simulation, and Monte Carlo models. However, the variance-covariance model is the valid one to measure the maximum potential loss of stocks.

The Dynamics of Individual Investment Decisions: Evidence From The Dhaka and Chittagong Stock Exchange, Bangladesh

“…In this case, investors assess economic aspects, industry patterns, firm-level indicators and macro-level market trends as part of the fundamental analysis (Nagendra, Kumar & Jayashree, 2018;Rubio, 2013). For example, Sumaji and Salim (2017) indicate that technical analysis is effective for forex investment, but Wang, Yu and Wen (2014) focus on GDP growth, inflation rate, interest rate, national savings, exchange rate, and foreign investment as part of the fundamental analysis.…”