This study aims to determine an accurate forecasting model, especially an error rate of around 0, and to examine how the automatic rejection system reacts to stock price as a result of the pandemic. The statistical clustering method is used for the dataset in form of daily observations, while the sample covers the period of cases before and after COVID-19 pandemic from 02 January 2019 to 20 June 2020 at the Trinitan Minerals and Metal Company. Furthermore, the data used in the estimation are the opening and closing price of returns, which are later processed using SAS analysis tools. It is shown that the most appropriate decision-making processes are those proven to be most effective. Therefore, predicting future events based on a suitable time series model will help policymakers and strategists make decisions and develop appropriate strategic plans regarding the stock market. Meanwhile, 98% of the ARIMA (1,1,1) is a forecasting model which can be applied to predict stock prices. The new approach of this study is an integrated autoregressive moving average used as an attempt to accurately predict stock prices during a pandemic.

The stock prices of mining companies are affected by several factors, such as world oil price, inflation, exchange rate, and Price to Earnings Ratio (PER), political affairs, basic metal prices, etc. The objective of this study is to analyze the effects of some factors influencing the stock prices of the mining companies including Price to Earnings Ratio (PER), world oil price, inflation, and exchange rate. Secondary data from Annual Reports of Indonesia Stock Exchange (IDX), Energy Information Administration (EIA), and Bank Indonesia are used as the sources of data analysis. 35 mining companies are selected as samples from four mining sub-sectors; namely coal, oil & gas, other metal & mineral, and rock. The results are analyzed by using panel data regression analysis model through applying EVIEWS 10. The results indicate that Price to Earnings Ratio (PER) and world oil price had positive and significant effects on stock price. Moreover, inflation has negative and significant effect on the stock price while exchange rate has no significant effect on stock price.

This study aims to estimate and predict the effect of stock prices on profit volatility, net profit, and comprehensive income on the Indonesia Stock Exchange for the period 2014-2019. The study uses quantitative analysis with secondary data consisting of 98 banking companies on the Indonesia stock exchange from 2014 to 2019. The results prove that the share price has a significant effect on net income and comprehensive income but does not have a significant effect on profit volatility, so that net and comprehensive income has relevance to the share price and investors can make both variables in conducting further fundamental research. Previous studies measured the level of volatility of earnings, net income, and comprehensive income on the share price, but when trialing other approaches by causality, share prices affect net income and comprehensive income but not for profit volatility. In this study, however, the change includes detailed income variables due to Financial Accounting Standard No. 1, a shift in terms from profit and loss statements to systematic profit and loss statements.

The COVID-19 outbreak has affected the entire global financial market in an unprecedented way. Due to disruptions in the global market, the Jordanian financial market also responded to the pandemic and observed sudden volatility. The outbreak of the virus has led the management of the Jordanian market (Amman Securities Exchange / ASE) to halt trading on the secondary market during the period 17 March 2020 – 9 May 2020. Hence, using daily closing prices of listed firms, this paper empirically examines the market’s liquidity cost before its closure (2 January 2020 – 16 March 2020) and after (10 May 2020 – 31 December 2020). The premise of this objective rests on the fact that the trading activity on the secondary market, following the resumption of trading is carried- out within uncertain circumstances. The data used in this study comes from the daily trading reports published by ASE. All listed companies are included in the analysis. Based on the daily closing bid and ask prices, we calculate the daily spreads during two sub-periods (2 January 2020 – 16 March 2020 and 10 May 2020 - 31 December 2020). We then regress the daily spreads on daily stock prices, number of daily contracts, risk, and where the companies list their shares (first or second market). The main findings of this paper are threefold. First, liquidity cost in the ASE is relatively high. Second, following the resumption of trading on the secondary market, liquidity cost has increased. Third, other known determinants of liquidity cost are significant and have the expected coefficient signs. The fact that liquidity cost in the ASE is high, and higher even after the resumption of trading, necessitates some clear policy measures. These include a reduction in the currently used minimum tick.

Liquidity of the stock exchanges plays essential role on investment decisions and it is one of the factors that may influence on stock price. The easier one can buy/sell shares of a firm, the higher liquidity the firm has. In fact, lack of liquidity may lead investors to sell their assets at cheaper prices and it could influence negatively on overall market. The primary objective of this paper is to study the effect of stock liquidity on the risk of falling stock prices. The study chooses historical information of 70 selected firms listed on Tehran Stock Exchange over the period 2006-2012. The results of this survey have indicated that there was a negative and meaningful relationship between stock liquidity and stock price decline.

Technology development has influenced various fields, and financial field is one of them. Applying new technologies in financial field has led to the emergence of a new kind of reporting called Internet Financial Reporting, and is used increasingly day by day due to the increasing use of internet. Adopting this kind of reporting has caused changes in the process of informing stockholders and other users. Since increasing and updating information quality can influence on decision makers to buy/sell their stock certificate, and, on the other hand, the demand for buying and selling stock certificate might influence on stock price, we aimed to evaluate the effect of internet financial reporting on the stock price of listed companies in Tehran Stock Exchange. For this purpose, a group of companies was selected as the experimental group, and some others as the control group. Then, we investigated stock price changes in both groups, and compared changes. The results indicate that internet financial reporting had no effect on the stock price in the investigated companies.

During the past few years, there have been tremendous studies on measuring the effects of various factors on stock prices. This paper presents an empirical investigation to study the effects of book value, net earnings and cash flow on stock prices of 129 selected firms listed on Tehran Stock Exchange over the period 2007-2012. Using some regression techniques, the study has determined that the effects of book value, net earnings as well as cash flow decreases over the time although the effects of book value is bigger than net earnings and cash flow. However, as time passes on, there is no change on trend of the effects of these components on stock price.