Titlebook: Sustainable Development in Banking and Finance; 7th International Co Nesrin Ozatac,Nigar Taspinar,Bezhan Rustamov Conference proceedings 20

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書目名稱Sustainable Development in Banking and Finance影響因子(影響力)




書目名稱Sustainable Development in Banking and Finance影響因子(影響力)學(xué)科排名




書目名稱Sustainable Development in Banking and Finance網(wǎng)絡(luò)公開度




書目名稱Sustainable Development in Banking and Finance網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Sustainable Development in Banking and Finance被引頻次




書目名稱Sustainable Development in Banking and Finance被引頻次學(xué)科排名




書目名稱Sustainable Development in Banking and Finance年度引用




書目名稱Sustainable Development in Banking and Finance年度引用學(xué)科排名




書目名稱Sustainable Development in Banking and Finance讀者反饋




書目名稱Sustainable Development in Banking and Finance讀者反饋學(xué)科排名

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CESS

Understanding Drivers of Boom and Bust in Cryptocurrency Markets,adopt the Cox proportional hazards model. The empirical findings reveal that the likelihood of experiencing large price increases is higher if cryptocurrency returns are positive on the previous day. On the other hand, the risk of facing significant price increases (decreases) is lower (higher) when

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The Impact of Size and Book-to-Market Ratio on Excess Return Using Fama-French 5-Factor Model: The o returns is still a controversial topic to enhance the stock market and help investors identify the factors affecting these returns. According to the previous studies to evaluate the validity of the Fama-French five-factor model, some of these studies provide no evidence to evaluate this model, but

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Machine Learning for Cobalt Price Prediction, and gradient boosted trees. The gradient boosted trees approach correctly estimates the price of cobalt, which has recently become an important mineral. Sector investors needing cobalt ore will profit from the quality estimates based on machine learning in this study.

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