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Polash Dey, Emam Hossain, Md. Ishtiaque Hossain, Mohammed Armanuzzaman Chowdhury, Md. Shariful Alam, Mohammad Shahadat Hossain and Karl Andersson
Investors in the stock market have always been in search of novel and unique techniques so that they can successfully predict stock price movement and make a big profit. However, investors continue to look for improved and new techniques to beat the mark...
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Chun-Feng Lin and Sheng-Chih Yang
Stock tape reading involves surveilling stock prices once in a while and recording stock prices. The method of observing stock prices may be television or stock exchange. The time step for recoding stock prices is every stock user?s experience and their ...
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Krzysztof Drachal and Michal Pawlowski
This study firstly applied a Bayesian symbolic regression (BSR) to the forecasting of numerous commodities? prices (spot-based ones). Moreover, some features and an initial specification of the parameters of the BSR were analysed. The conventional approa...
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Denis E. Baskan, Daniel Meyer, Sebastian Mieck, Leonhard Faubel, Benjamin Klöpper, Nika Strem, Johannes A. Wagner and Jan J. Koltermann
In recent years, energy prices have become increasingly volatile, making it more challenging to predict them accurately. This uncertain market trend behavior makes it harder for market participants, e.g., power plant dispatchers, to make reliable decisio...
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Sumathi Kumaraswamy, Yomna Abdulla and Shrikant Krupasindhu Panigrahi
Recurrent stock market fall and rise sequel by COVID-19, rising global inflation, increase in Fed interest rates, the unprecedented meltdown of technology stocks, fear of trade wars, tightening of governments? fiscal policies call for a new trend in inte...
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Marek Vochozka, Svatopluk Janek and Zuzana Rowland
The research goal presented in this paper was to determine the strength of the relationship between the price of coffee traded on ICE Futures US and Consumer Price Indices in the major urban agglomerations of the United States?New York, Chicago, and Los ...
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Leila Karimi and Chowdhury Nawrin Ferdous
Motivated by the transportation needs of modern-day retailers, we consider a variant of the vehicle routing problem with time windows in which each truck has a variable capacity. In our model, each vehicle can bring one or more wagons. The clients are vi...
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Marcin Watorek, Jaroslaw Kwapien and Stanislaw Drozdz
Unlike price fluctuations, the temporal structure of cryptocurrency trading has seldom been a subject of systematic study. In order to fill this gap, we analyse detrended correlations of the price returns, the average number of trades in time unit, and t...
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Jackson Jinhong Mi, Xiangyan Meng, Yanhui Chen and Yicheng Wang
Ship navigation technical data contains a lot of information. In this paper, we explore a relationship between the crude oil price and tankers? port-call features by mining the information recorded in Automatic Identification System (AIS), which extends ...
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Eirini Georgoulaki, Kostas Kollias and Tami Tamir
We study cost-sharing games in real-time scheduling systems where the server?s activation cost in every time slot is a function of its load. We focus on monomial cost functions and consider both the case when the degree is less than one (inducing positiv...
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Milan Van Wyk,Danie Coetsee
AbstractOrientation: IFRS 15 Revenue from Contract with Customers replaced the industry-specific financial reporting standard IAS 11 Construction Contracts, becoming effective on or after 1 January 2018. Construction is regarded as a complex industr...
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Carlos Marmolejo-Duarte
Pág. 57 - 65
The bid rent theory (BRT), originally conceived for a monocentric city suggests a trade-off between land value and transport costs. Thus, in most of the practical applications, the simply distance/time/cost to the CBD is used as a proxy of accessibility....
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Minh Y Nguyen, Dinh Hung Nguyen and Yong Tae Yoon
Under a deregulated environment, wind power producers are subject to many regulation costs due to the intermittence of natural resources and the accuracy limits of existing prediction tools. This paper addresses the operation (charging/discharging) probl...
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Junaidi junaidi
So far, business forecasting has been considered important in almost all economic entitiesand it is often used in areas such as in security analysts, institutional lending, and manage-ment. This research aims at examining empirically the predictability o...
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L. Morales, W. Foster
Pág. 101 - 114
Understanding the effects of price bands on domestic wheat production and producer welfare requires an analysis of how producer prices influence both sown land area and yield levels. This study estimates an adaptive expectations econometric model of whea...
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Markus Frohmann, Manuel Karner, Said Khudoyan, Robert Wagner and Markus Schedl
Recently, various methods to predict the future price of financial assets have emerged. One promising approach is to combine the historic price with sentiment scores derived via sentiment analysis techniques. In this article, we focus on predicting the f...
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Bernardina Algieri, Arturo Leccadito and Pietro Toscano
This study investigates the daily co-movements in commodity prices over the period 2006?2020 using a novel approach based on a time-varying Gerber correlation. The statistic is computed considering a set of probabilities estimated via non-traditional mod...
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Yaping Hao and Qiang Gao
In the stock market, predicting the trend of price series is one of the most widely investigated and challenging problems for investors and researchers. There are multiple time scale features in financial time series due to different durations of impact ...
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Ali Ebrahimi Ghahnavieh
Pág. 915 - 933
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Ahmad Abu Alrub,Husam Rjoub,Mehmet Aga,Murad Bein
Pág. 250 - 257
This study investigates the linkage between oil price index and stock price index in six GCC countries in two folds. Firstly, it studies the long-run relationship linking the stock price Index (SPI) and the oil price Index (OPI) for the time span, ...
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