Academic literature on the topic 'Daily market'
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Journal articles on the topic "Daily market"
Petroni, Filippo, and Maurizio Serva. "Observability of market daily volatility." Physica A: Statistical Mechanics and its Applications 444 (February 2016): 838–42. http://dx.doi.org/10.1016/j.physa.2015.10.085.
Full textChaffai, Mustapha, and Imed Medhioub. "Herding behavior in Islamic GCC stock market: a daily analysis." International Journal of Islamic and Middle Eastern Finance and Management 11, no. 2 (June 18, 2018): 182–93. http://dx.doi.org/10.1108/imefm-08-2017-0220.
Full textHamilton, James D. "The Daily Market for Federal Funds." Journal of Political Economy 104, no. 1 (February 1996): 26–56. http://dx.doi.org/10.1086/262016.
Full textTurner, Andrew L., and Eric J. Weigel. "Daily Stock Market Volatility: 1928–1989." Management Science 38, no. 11 (November 1992): 1586–609. http://dx.doi.org/10.1287/mnsc.38.11.1586.
Full textJarrett, Jeffrey E., and Eric Kyper. "Daily Variation, Capital Market Efficiency and Predicting Stock Market Returns." Management Research News 28, no. 8 (August 2005): 34–47. http://dx.doi.org/10.1108/01409170510784940.
Full textDerbali, Abdelkader. "Market efficiency in the emerging and frontier markets of the MENA countries." International Journal of Financial Engineering 06, no. 03 (September 2019): 1950030. http://dx.doi.org/10.1142/s2424786319500300.
Full textvan Kranenburg, Hans. "Mobility and Market Structure in the Dutch Daily Newspaper Market Segments." Journal of Media Economics 15, no. 2 (April 2002): 107–23. http://dx.doi.org/10.1207/s15327736me1502_3.
Full textGil-Alana, L. A. "Fractional integration in daily stock market indexes." Review of Financial Economics 15, no. 1 (January 2006): 28–48. http://dx.doi.org/10.1016/j.rfe.2005.02.003.
Full textÖzcan, Gül Berna. "Introduction: market adaptations, interventions and daily experience." Central Asian Survey 34, no. 4 (October 2, 2015): 409–17. http://dx.doi.org/10.1080/02634937.2015.1103580.
Full textAllen, David E., Michael McAleer, and Abhay K. Singh. "Daily market news sentiment and stock prices." Applied Economics 51, no. 30 (February 14, 2019): 3212–35. http://dx.doi.org/10.1080/00036846.2018.1564115.
Full textDissertations / Theses on the topic "Daily market"
Rubenking, Brian Harold. "Market forces and aircraft safety: a daily stock market return analysis." Thesis, Virginia Tech, 1988. http://hdl.handle.net/10919/45178.
Full textMaster of Arts
Lokre, Saanika Sameer. "Revitalizing Daily Travel - Mumbai, India." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/74948.
Full textMaster of Science
Howarth, Grant. "Modelling daily return variations in developing market currencies." Thesis, Rhodes University, 2013. http://hdl.handle.net/10962/d1008365.
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O'Malley, John. "Predictive Golf Analytics Versus the Daily Fantasy Sports Market." Scholarship @ Claremont, 2018. http://scholarship.claremont.edu/cmc_theses/1969.
Full textEl-Mekkaoui, Mazen. "Intra-daily put call parity in the PHLX currency options market." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq25992.pdf.
Full textKdaiem, Nourhen. "Market reaction to announcements of rights offerings using daily and intraday data." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/mq25996.pdf.
Full textJones, Garett. "Measuring the liquidity effect with daily data /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2000. http://wwwlib.umi.com/cr/ucsd/fullcit?p3023450.
Full textGroß-Klußmann, Axel. "An econometric analysis of intra-daily stock market liquidity, volatility and news impacts." Doctoral thesis, Humboldt-Universität zu Berlin, Wirtschaftswissenschaftliche Fakultät, 2012. http://dx.doi.org/10.18452/16572.
Full textIn this thesis we present econometric models and empirical features of intra-daily (high frequency) stock market data. We focus on the measurement of news impacts on stock market activity, forecasts of bid-ask spreads and the modeling of volatility measures on intraday intervals. First, we quantify market reactions to an intraday stock-specific news flow. Using pre-processed data from an automated news analytics tool we analyze relevance, novelty and direction signals and indicators for company-specific news. Employing a high-frequency VAR model based on 20 second data of a cross-section of stocks traded at the London Stock Exchange we find distinct responses in returns, volatility, trading volumes and bid-ask spreads due to news arrivals. In a second analysis we introduce a long memory autoregressive conditional Poisson (LMACP) model to model highly persistent time series of counts. The model is applied to forecast quoted bid-ask spreads, a key parameter in stock trading operations. We discuss theoretical properties of LMACP models and evaluate rolling window forecasts of quoted bid-ask spreads for stocks traded at NYSE and NASDAQ. We show that Poisson time series models significantly outperform forecasts from ARMA, ARFIMA, ACD and FIACD models in this context. Finally, we address the problem of measuring volatility on small 20 second to 5 minute intra-daily intervals in an optimal way. In addition to the standard realized volatility approaches we construct volatility measures by integrating spot volatility estimates that include information on observations outside of the intra-daily intervals of interest. Comparing the alternative volatility measures in a simulation study we find that spot volatility-based measures minimize the RMSE in the case of small intervals.
Kormas, George. "Daily and intradaily stochastic covariance : value at risk estimates for the foreign exchange market." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ39466.pdf.
Full textAlves, Thiago Winkler. "Forecasting daily volatility using high frequency financial data." reponame:Repositório Institucional do FGV, 2014. http://hdl.handle.net/10438/11994.
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Aiming at empirical findings, this work focuses on applying the HEAVY model for daily volatility with financial data from the Brazilian market. Quite similar to GARCH, this model seeks to harness high frequency data in order to achieve its objectives. Four variations of it were then implemented and their fit compared to GARCH equivalents, using metrics present in the literature. Results suggest that, in such a market, HEAVY does seem to specify daily volatility better, but not necessarily produces better predictions for it, what is, normally, the ultimate goal. The dataset used in this work consists of intraday trades of U.S. Dollar and Ibovespa future contracts from BM&FBovespa.
Objetivando resultados empíricos, este trabalho tem foco na eaplicação do modelo HEAVY para volatilidade diária com dados financeiros do mercado Brasileiro. Muito similar ao GARCH, este modelo busca explorar dados em alta frequência para atingir seus objetivos. Quatro variações dele foram então implementadas e seus ajustes comparadados a equivalentes GARCH, utilizando métricas presentes na literatura. Os resultados sugerem que, neste mercado, o HEAVY realmente parece especificar melhor a volatilidade diária, mas não necessariamente produz melhores previsões, o que, normalmente, é o objetivo final. A base de dados utilizada neste trabalho consite de negociações intradiárias de contratos futuros de dólares americanos e Ibovespa da BM&FBovespa.
Books on the topic "Daily market"
Chappell, L. F. Money market interest rates and yields, daily 1976-1986. [Sydney]: Reserve Bank of Australia, 1987.
Find full textD, Hamilton James. Daily changes in fed funds futures prices. Cambridge, Mass: National Bureau of Economic Research, 2007.
Find full textCarpenter, Seth B. The liquidity effect in the federal funds market: Evidence from daily open market operations. Washington, D.C: Federal Reserve Board, 2004.
Find full textBernstein, Jacob. Why traders lose, how traders win: Timing futures trades with daily market sentiment. Chicago, Ill: Probus, 1992.
Find full textFatum, Rasmus. Effectiveness of official daily foreign exchange market intervention operations in Japan. Cambridge, Mass: National Bureau of Economic Research, 2003.
Find full textMcMillan, N. R. Interest rates and yields: Money market and commonwealth government securities, daily 1976-1993. [Sydney]: Reserve Bank of Australia, 1993.
Find full textHartmann, Philipp. Trading volumes and transaction costs in the foreign market: Evidence fron daily dollar-yen spot data. London: London School of Economics, Financial Markets Group, 1996.
Find full textYoung, J. N. International dairy products market. Leatherhead: Leatherhead Food R.A., 1985.
Find full textYoung, J. N. International dairy products market. Leatherhead: Leatherhead Food R.A, 1985.
Find full textBook chapters on the topic "Daily market"
Dann, David, Michael Thomas Knierim, Christian Peukert, Philipp Staudt, and Tim Straub. "Information and Market Engineering at KIT: Quo Vadis?" In Market Engineering, 1–19. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66661-3_1.
Full textHusain, Zakir. "Daily Life of the Aged: An Analysis of Time-Use Diaries." In Active Ageing and Labour Market Engagement, 113–28. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0583-6_6.
Full textCondoyanni, Leda, Stuart McLeay, and John O’Hanlon. "An Investigation of Daily Seasonality in the Greek Equity Market." In A Reappraisal of the Efficiency of Financial Markets, 229–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74741-0_13.
Full textIfleh, Abdelhadi, and Mounime El Kabbouri. "Moroccan Stock Market Prediction Using LSTM Model on a Daily Data." In Algorithms for Intelligent Systems, 11–17. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2248-9_2.
Full textArriagada, Arturo. "Branding daily life: fashion influencers as market actors in the social media economy." In The Routledge Companion to Fashion Studies, 446–54. London: Routledge, 2021. http://dx.doi.org/10.4324/9780429264405-46.
Full textLopes, Fernando, and Hugo Algarvio. "Demand Response in Electricity Markets: An Overview and a Study of the Price-Effect on the Iberian Daily Market." In Studies in Systems, Decision and Control, 265–303. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74263-2_10.
Full textKeim, Donald B. "Comments on Condoyanni, O’Hanlon and McLeay “An Investigation of Daily Seasonality in the Greek Equity Market”." In A Reappraisal of the Efficiency of Financial Markets, 259–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74741-0_14.
Full textAbel, Tetsuo. "Preliminary Study on the Fluctuations of Daily Returns in Stock Market Based on Phase Transition Theory." In The Application of Econophysics, 64–69. Tokyo: Springer Japan, 2004. http://dx.doi.org/10.1007/978-4-431-53947-6_8.
Full textSinha, Sitabhra, and Uday Kovur. "Uncovering the Network Structure of the World Currency Market: Cross-Correlations in the Fluctuations of Daily Exchange Rates." In Econophysics of Agent-Based Models, 203–18. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-00023-7_11.
Full textSilvestri, Raffaele. "Market Opportunities." In Advances in Dairy Products, 394–403. Chichester, UK: John Wiley & Sons Ltd, 2017. http://dx.doi.org/10.1002/9781118906460.ch4f.
Full textConference papers on the topic "Daily market"
Keko, Hrvoje, Mauro Augusto da Rosa, Jean Sumaili, and Vladimiro Miranda. "Wind power forecast uncertainty in daily operation of wind park combined with storage." In 2011 European Energy Market (EEM). IEEE, 2011. http://dx.doi.org/10.1109/eem.2011.5953114.
Full textSun Youjiang. "Daily generation schedule under open partial unbundling generation market." In APSCOM 2000 - 5th International Conference on Advances in Power System Control, Operation and Management. IEE, 2000. http://dx.doi.org/10.1049/cp:20000367.
Full textJansen, Malte, Iain Staffell, and Richard Green. "Daily Marginal CO2 Emissions Reductions from Wind and Solar Generation." In 2018 15th International Conference on the European Energy Market (EEM). IEEE, 2018. http://dx.doi.org/10.1109/eem.2018.8469873.
Full textEttlin, Adrian. "Evolutionary Hedging Model for Power Trading to Maximize Daily Profits." In 2020 17th International Conference on the European Energy Market (EEM). IEEE, 2020. http://dx.doi.org/10.1109/eem49802.2020.9221976.
Full textMaknickienė, Nijolė, Ieva Kekytė, and Algirdas Maknickas. "COMPUTATION INTELLIGENCE BASED DAILY ALGORITHMIC STRATEGIES FOR TRADING IN THE FOREIGN EXCHANGE MARKET." In Business and Management 2018. VGTU Technika, 2018. http://dx.doi.org/10.3846/bm.2018.53.
Full textCovas, Ricardo, and Lorenzo Pascual. "Pricing daily electricity transfer capacities in the Spain – France Interconnection." In 2008 5th International Conference on the European Electricity Market (EEM 2008). IEEE, 2008. http://dx.doi.org/10.1109/eem.2008.4579121.
Full textYirui, Yuan. "Daily Equity Returns and Price Limit in China's Stock Market." In International Conference on Information System and Management Engineering. SCITEPRESS - Science and Technology Publications, 2015. http://dx.doi.org/10.5220/0006018200110014.
Full textJingyi Liu. "An analysis of daily volatility in the Japanese foreign exchange market." In Proceedings of ICSSSM '05. 2005 International Conference on Services Systems and Services Management, 2005. IEEE, 2005. http://dx.doi.org/10.1109/icsssm.2005.1500192.
Full textAri, Davut, and Baris Baykant Alagoz. "Modeling Daily Financial Market Data by Using Tree-Based Genetic Programming." In 2021 International Conference on Information Technology (ICIT). IEEE, 2021. http://dx.doi.org/10.1109/icit52682.2021.9491652.
Full textXie, Li, Lin Liu, and Sheng Yu. "A novel convolutional auto-encoder networks for daily stock market prediction." In 2020 7th International Conference on Information Science and Control Engineering (ICISCE). IEEE, 2020. http://dx.doi.org/10.1109/icisce50968.2020.00030.
Full textReports on the topic "Daily market"
Stauff, N., G. Maronati, R. Ponciroli, F. Ganda, T. Kim, T. Taiwo, A. Cuadra, et al. Daily Market Analysis Capability and Results. Office of Scientific and Technical Information (OSTI), April 2019. http://dx.doi.org/10.2172/1511150.
Full textChen, Ting, Zhenyu Gao, Jibao He, Wenxi Jiang, and Wei Xiong. Daily Price Limits and Destructive Market Behavior. Cambridge, MA: National Bureau of Economic Research, November 2017. http://dx.doi.org/10.3386/w24014.
Full textFatum, Rasmus, and Michael Hutchison. Effectiveness of Official Daily Foreign Exchange Market Intervention Operations in Japan. Cambridge, MA: National Bureau of Economic Research, April 2003. http://dx.doi.org/10.3386/w9648.
Full textEngle, Robert, Takatoshi Ito, and Wen-Ling Lin. Meteor Showers or Heat Waves? Heteroskedastic Intra-Daily Volatility in the Foreign Exchange Market. Cambridge, MA: National Bureau of Economic Research, June 1988. http://dx.doi.org/10.3386/w2609.
Full textWheelock, David C., Christopher Hanes, Mark A. Carlson, and Sriya Anbil. A New Daily Federal Funds Rate Series and History of the Federal Funds Market, 1928-1954. Federal Reserve Bank of St. Louis, 2020. http://dx.doi.org/10.20955/wp.2020.016.
Full textGeorge, Lisa, and Joel Waldfogel. Who Benefits Whom in Daily Newspaper Markets? Cambridge, MA: National Bureau of Economic Research, October 2000. http://dx.doi.org/10.3386/w7944.
Full textJongeneel, Roel, Co Daatselaar, Myrna van Leeuwen, and Huib Silvis. Phosphate Production Reduction Decree of the Netherlands : impact on markets, environment and dairy farm structure. Den Haag: Wageningen Economic Research, 2017. http://dx.doi.org/10.18174/404867.
Full textMai Phuong, Nguyen, Hanna North, Duong Minh Tuan, and Nguyen Manh Cuong. Assessment of women’s benefits and constraints in participating in agroforestry exemplar landscapes. World Agroforestry, 2021. http://dx.doi.org/10.5716/wp21015.pdf.
Full textCarrasquilla-Barrera, Alberto, Arturo José Galindo-Andrade, Gerardo Hernández-Correa, Ana Fernanda Maiguashca-Olano, Carolina Soto, Roberto Steiner-Sampedro, and Juan José Echavarría-Soto. Report of the Board of Directors to the Congress of Colombia - July 2020. Banco de la República de Colombia, February 2021. http://dx.doi.org/10.32468/inf-jun-dir-con-rep-eng.07-2020.
Full textStall, Nathan M., Kevin A. Brown, Antonina Maltsev, Aaron Jones, Andrew P. Costa, Vanessa Allen, Adalsteinn D. Brown, et al. COVID-19 and Ontario’s Long-Term Care Homes. Ontario COVID-19 Science Advisory Table, January 2021. http://dx.doi.org/10.47326/ocsat.2021.02.07.1.0.
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