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Shubin Zhang, Peifang Dai, Ning Li and Yanbo Chen
Integrated circuits suffer severe deterioration due to single-event upsets (SEUs) in irradiated environments. Spin-transfer torque magnetic random-access memory (STT-MRAM) appears to be a promising candidate for next-generation memory as it shows promisi...
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Benjamin Mudiangombe Mudiangombe and John Weirstrass Muteba Mwamba
This paper examines the effects of the Standard and Poor?s 500 (SP500) stock index crash during the global financial crisis and the COVID-19 pandemic periods on the South African top sector indices (basic materials, consumer goods, consumer services, fin...
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Yuruixian Zhang, Wei Chong Choo, Jen Sim Ho and Cheong Kin Wan
Tourism forecasting has garnered considerable interest. However, integrating tourism forecasting with volatility is significantly less typical. This study investigates the performance of both the single models and their combinations for forecasting the v...
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Emmanuel Senyo Fianu
Because of the non-linearity inherent in energy commodity prices, traditional mono-scale smoothing methodologies cannot accommodate their unique properties. From this viewpoint, we propose an extended mode decomposition method useful for the time-frequen...
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Kejing Zhao, Jinliang Zhang and Qing Liu
The reasonable pricing of options can effectively help investors avoid risks and obtain benefits, which plays a very important role in the stability of the financial market. The traditional single option pricing model often fails to meet the ideal expect...
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Qi Qian, Liang Shu, Yuxiang Leng and Zhizhou Bao
In order to improve the downlink communication performance of the traditional LoRa wide area network (LoRaWAN), a LoRaWAN downlink routing control strategy based on the software defined networks (SDN) framework and the improved auto-regressive integrated...
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Enna Hirata and Takuma Matsuda
With the increasing availability of large datasets and improvements in prediction algorithms, machine-learning-based techniques, particularly deep learning algorithms, are becoming increasingly popular. However, deep-learning algorithms have not been wid...
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Faizul Mubarok,Mohammad Masykur Fadhli
Pág. in press
The presence of the stock market has helped to increase economic growth in a country. However, high levels of volatility plus economic uncertainty make investors have to rethink investing in the capital market. This study aims to examine the share of eac...
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Leandro dos Santos Maciel,Rosangela Ballini
Pág. 66 - 84
Bitcoin has attracted the attention of investors lately due to its significant market capitalization and high volatility. This work considers the modeling and forecasting of daily high and low Bitcoin prices using a fractionally cointegrated vector autor...
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Tendai Makoni,Delson Chikobvu
AbstractAccurate tourism volatility forecasts for popular tourist destinations, like the Victoria Falls Rainforest, are vital to tourism destination managers and policymakers. The Victoria Falls Rainforest in Zimbabwe is under the town of Victoria Falls ...
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