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28 results for “Financial markets”
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Research ArticleOpen accessPhrase in the titleAnalysis of Financial Markets Integration of Iran Within the Middle East and with the Rest of the WorldParinaz EzzatiIt is universally argued that Iran’s financial markets are effectively isolated from the rest of the world. However, in the last three years, privatization increased in Iranian financial markets as well as capitalization, Foreign Direct Investment (FDI) and equity prices, albeit with suspicion of reaching the bubble level. Questions are raised whether Iran is still isolated from the rest of … …American Journal of Applied Sciences, Vol. 10, Issue 12 · 10 Oct 2013 · 6,849 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleModification of the Ornstein Uhlenbeck Process to Incorporate the Influence of Speculation on Volatility in Financial MarketsHendrietha Joan Hendricks, Jacob Ongala, Dismas NtirampebaFinancial market participants often speculate on how markets would behave in the light of certain information at hand. This speculation contributes to volatility within the financial market and consequently, it makes the market unstable. The Ornstein Uhlenbeck (OU) model has intensively been used in modelling volatility, however, the contribution of speculation on volatility has not been studied in the OU … …Journal of Mathematics and Statistics, Vol. 18, Issue 1 · 18 Jan 2022 · 7,172 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMarket and Economic Regulation Periodicity: A Feature that Allows Prevention and RegulationLaure JehlenProblem statement: This study addressed the essential questions of non linear financial flows forecasting and prevention regarding the means of periodicity. Approach: We implemented some new computational tools to weigh up the presence of periodicity in 10 years financial price time series. The data consists of NYSE-Euronext listed corporations’ closing prices and East-Asian, North-American and European markets indexes closing prices. … …American Journal of Economics and Business Administration, Vol. 2, Issue 4 · 28 Nov 2010 · 7,806 accessesView PDFCite
Review ArticleOpen accessIn the keywordsDoes Intellectual Capital Affect the Volatility of Returns? An Empirical Investigation on Italian Listed CompaniesBrett W. Cantrell, Daniela Coluccia, Stefano Fontana, Silvia SolimeneIn modern information economies, economic success increasingly depends on the ability to apply knowledge and to transform it into firm value. While intellectual capital plays a critical role in firm success, it is an intangible asset that is difficult to measure and that is unrecorded by the firm. Difficulties in measuring intellectual capital, as well as the dynamic nature of … …American Journal of Applied Sciences, Vol. 14, Issue 12 · 10 Jan 2018 · 8,520 accessesView PDFCite
Research ArticleOpen accessIn the keywordsModelling and Forecasting Volatility of Returns on the Ghana Stock Exchange Using Garch ModelsFrimpong Joseph Magnus, Oteng-Abayie Eric FosuThis paper models and forecasts volatility (conditional variance) on the Ghana Stock Exchange using a random walk (RW), GARCH(1,1), EGARCH(1,1), and TGARCH(1,1) models. The unique ‘three days a week’ Databank Stock Index (DSI) was used to study the dynamics of the Ghana stock market volatility over a 10-year period. The competing volatility models were estimated and their specification and forecast … …American Journal of Applied Sciences, Vol. 3, Issue 10 · 31 Oct 2006 · 7,551 accessesView PDFCite
Research ArticleOpen accessIn the abstractStock Closing Price Forecasting Using LSTM, Sentiment Analysis, Kalman FilterAssel Abdildayeva, Galymzhan Nurtugan, Guldana Taganova, Ardak AkhmetovaThe article explores the problem of predicting the closing prices of stocks using an innovative approach that combines methods of machine learning, sentiment analysis and noise filtering. The focus is on the development and testing of a comprehensive model that integrates recurrent neural networks (LSTM) for time series analysis, the GPT-3 language model for processing and analyzing textual data from … …Journal of Computer Science, Vol. 20, Issue 11 · 4 Sep 2024 · 6,262 accessesView PDFCite
Review ArticleOpen accessIn the abstractEconomic Theory and Machine Learning Integration in Asset Pricing and Portfolio Optimization: A Bibliometric Analysis and Conceptual FrameworkPatrick Kevin Aritonang, Sudarso Kaderi Wiryono, Taufik FaturohmanThe integration of Machine Learning (ML) with economic theory has transformed financial market analysis, particularly in asset pricing and portfolio optimization. This study synthesizes existing research, identifies gaps and elucidates ML's impact on enhancing economic models and strategies through a Systematic Literature Review (SLR) of 401 relevant documents using bibliometric methodology and VOS viewer. Results show an increasing trend in … …Journal of Computer Science, Vol. 20, Issue 10 · 7 Aug 2024 · 5,715 accessesView PDFCite
Research ArticleOpen accessIn the abstractETFs in European Emerging Markets: Performance, Risk and SustainabilityRosa Adamo, Domenica Federico, Antonella NotteOver the past few decades, Exchange-Traded Funds (ETFs) have become one of the most innovative financial instruments traded in financial markets. The aim is to offer an overview of the ETF market in Emerging Europe through a study on performance, risks and sustainability. The research examines the costs, the performance of the fund over calendar year periods (annual return), the … …American Journal of Economics and Business Administration, Vol. 15, Issue 1 · 14 Dec 2023 · 6,300 accessesView PDFCite
Research ArticleOpen accessIn the abstractAugmented Scope-Based E-Commerce Business Model for Emerging MarketsRazib Hayat Khan, Ankan Shahriar Islam et al.E-commerce is one of the world's fastest-growing software service industries. With the arrival and rise of the 4th industrial revolution and technological advancements such as Artificial Intelligence, machine learning, and subscription economies, e-commerce is primed for significant growth globally, particularly in emerging markets. Emerging markets provide several unique growth factors and catalysts such as smart device adoption, high internet penetration, … …Journal of Computer Science, Vol. 19, Issue 12 · 20 Oct 2023 · 7,415 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Deep Learning Models for Multi-Step Prediction of Financial Time SeriesSaugat Aryal, Dheynoshan Nadarajah, Prabath Lakmal Rupasinghe et al.Financial time series prediction has been a key topic of interest among researchers considering the complexity of the domain and also due to its significant impact on a wide range of applications. In contrast to one-step ahead prediction, multi-step forecasting is more desirable in the industry but the task is more challenging. In recent days, advancement in deep learning has … …Journal of Computer Science, Vol. 16, Issue 10 · 27 Oct 2020 · 6,967 accessesView PDFCite