• Title/Summary/Keyword: Price.Economic

Search Result 1,677, Processing Time 0.03 seconds

Oil Price Fluctuations and Stock Market Movements: An Application in Oman

  • Echchabi, Abdelghani;Azouzi, Dhekra
    • The Journal of Asian Finance, Economics and Business
    • /
    • v.4 no.2
    • /
    • pp.19-23
    • /
    • 2017
  • It is undisputable that crude oil and its price fluctuations are major components that affect most of the countries' economies. Recent studies have demonstrated that beside the impact that crude oil price fluctuations have on common macroeconomic indicators like gross domestic product (GDP), inflation rates, exchange rates, unemployment rate, etc., it also has a strong influence on stock markets and their performance. This relationship has been examined in a number of settings, but it is yet to be unraveled in the Omani context. Accordingly, the main purpose of this study is to examine the possible effect of the oil price fluctuations on stock price movements. The study applies Toda and Yamamoto's (1995) Granger non-causality test on the daily Oman stock index (Muscat Securities Market Index) and oil prices between the period of 2 January 2003 and 13 March 2016. The results indicated that the oil price fluctuations have a significant impact on stock index movements. However, the stock price movements do not have a significant impact on oil prices. These findings have significant implications not only for the Omani economy but also for the economy of similar countries, particularly in the Gulf Cooperation Council (GCC) countries. The latter should carefully consider their policies and strategies regarding crude oil production and the generated income allocation as it might potentially affect the financial markets performance in these countries.

Two-Stage forecasting Using Change-Point Detection and Artificial Neural Networks for Stock Price Index

  • Oh, Kyong-Joo;Kim, Kyoung-Jae;Ingoo Han
    • Proceedings of the Korea Inteligent Information System Society Conference
    • /
    • 2000.11a
    • /
    • pp.427-436
    • /
    • 2000
  • The prediction of stock price index is a very difficult problem because of the complexity of the stock market data it data. It has been studied by a number of researchers since they strong1y affect other economic and financial parameters. The movement of stock price index has a series of change points due to the strategies of institutional investors. This study presents a two-stage forecasting model of stock price index using change-point detection and artificial neural networks. The basic concept of this proposed model is to obtain Intervals divided by change points, to identify them as change-point groups, and to use them in stock price index forecasting. First, the proposed model tries to detect successive change points in stock price index. Then, the model forecasts the change-point group with the backpropagation neural network (BPN). Fina1ly, the model forecasts the output with BPN. This study then examines the predictability of the integrated neural network model for stock price index forecasting using change-point detection.

  • PDF

The Effect of Labor Union and its Power on Information Opacity: Evidence Based on Stock Price Crash Risk

  • Shin, Heejeong
    • Journal of East Asia Management
    • /
    • v.3 no.1
    • /
    • pp.25-40
    • /
    • 2022
  • This study investigates the effect of labor union and its power on information opacity. Given that the information opacity ultimately leads to the stock price crash, this study examines the relationship between labor unions and future stock price crash risk. Further, by assuming a strike by labor union as the actual power of the unionization in firms, whether labor union's power subrogated by the activity (i.e., a strike) makes a significant difference in the likelihood of future stock price crash between unionized firms is also examined. The work place survey data provided by Korea Labor Institute is used to test the hypotheses. The data is for the periods of 2004 - 2012 on firms listed on Korea Stock Exchange and KOSDAQ. The results show that while labor unionization has a positive impact on future stock price crash risk, on which labor union's power has a negative impact. This means that the existence of labor union itself might facilitate firm's information to be opaque by tolerating manager opportunism, while its power mitigates the managerial opportunism, which leads to lower future stock price crash risk. This study adds to the literature on the role of labor unions as nonfinancial stakeholders and its power in accounting environment, and also on the determinants of stock price crash. It is also valuable to examine the unions' role in terms of the economic consequences of both presence and power of the labor unions.

An Analysis of Price Competition between Two Ports using Game Model (게임모형을 이용한 두 항만간 가격경쟁에 관한 연구)

  • Kim, Tae-Gi;Park, Gyei-Kark
    • Journal of Korea Port Economic Association
    • /
    • v.25 no.3
    • /
    • pp.251-268
    • /
    • 2009
  • This study analyzes price competition between two ports theoretically using a game model. We considered two cases: in Case I, consignors are located in a given position, and in Case II, consignors are distributed uniformally between two ports. The results are as follows. In Case I, the higher consignors' preferences for quality are, the more two ports' prices increase. As the locations of consignors are closer to Port H, the price of Port H increases and that of the low quality port(Port L) decreases. In addition, when transportation cost increases, the price of Port L decreases and the price of Port H tends to increase. If the quality of Port H improves, the price of the port H increases but the price of Port L is not clearly determined. In Case II, the higher consignors' preferences for quality are, the more two ports' prices increase. As transportation cost increases, the prices of both ports decrease but the price of Port L decreases twice as fast as that of Port H. In addition, if the quality of Port H improves, the price of Port H increases but the price of Port L decreases when transportation cost is high.

  • PDF

Impact of Economic Policy Uncertainty and Macroeconomic Factors on Stock Market Volatility: Evidence from Islamic Indices

  • AZIZ, Tariq;MARWAT, Jahanzeb;MUSTAFA, Sheraz;KUMAR, Vikesh
    • The Journal of Asian Finance, Economics and Business
    • /
    • v.7 no.12
    • /
    • pp.683-692
    • /
    • 2020
  • The primary purpose of the study is to investigate the volatility spillovers from global economic policy uncertainty and macroeconomic factors to the Islamic stock market returns. The study focuses on the Islamic stock indices of emerging economies including Indonesia, Malaysia, and Turkey. The Macroeconomic factors are industrial production, consumer price index, exchange rate. EGARCH model is employed for investigation of volatility spillovers. The results show that the global economic policy uncertainty has a significant spillover effect only on the returns of Turkish Islamic stock index. Similarly, the shocks in macroeconomic factors have little influence on the volatility of Islamic indices returns. The volatility of Indonesian and the Turkish Islamic stock indices returns is not influenced from the fluctuations in macroeconomic factors. However, there is significant volatility spillover only from industrial production to the returns of Malaysian Islamic index. The results suggest that the Islamic stock markets are less likely to influence from the global economic policies and macroeconomic factors. The stability of Islamic stocks provide opportunity for diversification of portfolios, particularly in stressed market conditions. The major price factors of Islamic markets could be firms' specific factors or investors' behaviors. The findings are helpful for policy makers and investors in formulating policies and portfolios.

Engineering and Economic Evaluation of Production of MgO Nanoparticles using a Physicochemical Method

  • Priatna, Deri;Nandiyanto, Asep Bayu Dani
    • International journal of advanced smart convergence
    • /
    • v.8 no.4
    • /
    • pp.26-33
    • /
    • 2019
  • We conducted research to evaluate economically and engineering about the synthesis of Magnesium Oxide, MgO, nanoparticles using physicochemical methods. The method used was economic evaluation by calculating GPM, BEP, PBP, and CNPV. The other method used was engineering perspective. MgO nanoparticles were synthesized by reacting Mg(NO3)2 and NaOH with a mole ratio 1: 2. Mg(OH)2 formed was heated and calcined to remove water content and to oxidation to form MgO. An economic evaluation by calculating GPM and CNPV for the production of MgO nanoparticles on an industrial scale shows that the payback period (PBP) occur in the third year and profits increase each year. Tax variations show that the higher of tax, the lower profits received. When there was an increase of selling prices, the profit was greater. The variable cost used is the price of raw material. When there was an increased in the variable cost price, the payback period was longer and the profits was reduced. The benefit of this research is knowing the industrial production of MgO nanoparticles is beneficial. The function of MgO nanoparticles is a material for the manufacture of ceramics and can be used as an antimicrobial in the water filtration process.