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Fan Ding, Min Liu, Simon M. Hsiang, Peng Hu, Yuxiang Zhang and Kewang Jiang
The complexity and uncertainty of construction projects contribute to low efficiency in the construction industry. This research applied the Takt-time planning method to optimize the construction working process, and proposed a risk control framework bas...
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Ayoub Kyoud, Cherif El Msiyah and Jaouad Madkour
The Moroccan banking system suffered a significant impact due to the extreme market conditions caused by the COVID-19 outbreak, which led to an increase in non-performance loans. This, in turn, reduced the value of banks? assets and their ability to meet...
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Pir Dino Soomro, Xianping Fu, Muhammad Aslam, Dani Elias Mfungo and Arsalan Ali
An imperative application of artificial intelligence (AI) techniques is visual object detection, and the methods of visual object detection available currently need highly equipped datasets preserved in a centralized unit. This usually results in high tr...
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Caston Sigauke, Rosinah Mukhodobwane, Wilbert Chagwiza and Winston Garira
With the use of empirical data, this paper focuses on solving financial and investment issues involving extremal dependence of 10 pairwise combinations of the 5 BRICS (Brazil, Russia, India, China, and South Africa) stock markets. Daily closing equity in...
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Riaman, Sukono, Sudradjat Supian and Noriszura Ismail
This paper discusses the relationship between weather and rice productivity modeled using the Cobb?Douglas production function principle, with the hypothesis that rice production will increase in line with the increase in average rainfall, wind speed, an...
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Theophilos Papadimitriou, Periklis Gogas and Athanasios Fotios Athanasiou
This study aims to forecast extreme fluctuations of Bitcoin returns. Bitcoin is the first decentralized and the largest, in terms of capitalization, cryptocurrency. A well-timed and precise forecast of extreme changes in Bitcoin returns is key to market ...
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Hongjun Fan, Hossein Enshaei and Shantha Gamini Jayasinghe
Liquified natural gas (LNG) as a marine fuel has gained momentum as the maritime industry moves towards a sustainable future. Since unwanted LNG release may lead to severe consequences, performing quantitative risk assessment (QRA) for LNG bunkering oper...
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John Weirstrass Muteba Mwamba and Sutene Mwambetania Mwambi
This paper investigates the dynamic tail dependence risk between BRICS economies and the world energy market, in the context of the COVID-19 financial crisis of 2020, in order to determine optimal investment decisions based on risk metrics. For this purp...
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Katleho Makatjane and Ntebogang Moroke
During the past decades, seasonal autoregressive integrated moving average (SARIMA) had become one of a prevalent linear models in time series and forecasting. Empirical research advocated that forecasting with non-linear models can be an encouraging alt...
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Ramesh Adhikari, Kyle J. Putnam and Humnath Panta
This paper examines the performance of a naïve equally weighted buy-and-hold portfolio and optimization-based commodity futures portfolios for various lookback and holding periods using data from January 1986 to December 2018. The application of Monte Ca...
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