1. Enhancing economic cycle forecasting based on interpretable machine learning and news narrative sentiment. (2025). Sun, Weixin ; Wang, Yong ; Zhang, LI ; Chen, Xihui Haviour ; Hoang, Yen Hai.
   In: Technological Forecasting and Social Change.
   RePEc:eee:tefoso:v:215:y:2025:i:c:s0040162525001258.

   Full description at Econpapers || Download paper

2. Can gold hedge against uncertainty in the cryptocurrency and energy markets?. (2025). Shao, Xuefeng ; Qin, Meng ; Su, Chi Wei ; Hu, Chengming.
   In: Technological Forecasting and Social Change.
   RePEc:eee:tefoso:v:214:y:2025:i:c:s0040162525000812.

   Full description at Econpapers || Download paper

3. Connectedness among diverse financial assets: Evidence from cryptocurrency uncertainty indices. (2025). Batra, Shallu ; Danso, Albert ; Yadav, Mahender ; Tiwari, Aviral Kumar.
   In: Technological Forecasting and Social Change.
   RePEc:eee:tefoso:v:210:y:2025:i:c:s0040162524006723.

   Full description at Econpapers || Download paper

4. Balancing the books: The role of energy-related uncertainty in corporate leverage. (2025). Yang, Lukai ; Huang, Xinhui.
   In: Global Finance Journal.
   RePEc:eee:glofin:v:64:y:2025:i:c:s1044028325000043.

   Full description at Econpapers || Download paper

5. Analyzing the dynamics of the persistence of energy-related uncertainty of G7 countries: What does the time-varying SUR-ADF model say?. (2025). Ranjbar, Omid ; Chang, Tsangyao ; Peng, Yi-Ting.
   In: Energy.
   RePEc:eee:energy:v:320:y:2025:i:c:s0360544225008308.

   Full description at Econpapers || Download paper

1. Abakah, E.J.A. ; Tiwari, A.K. ; Ghosh, S. ; Doğan, B. Dynamic effect of bitcoin, fintech and artificial intelligence stocks on eco-friendly assets, Islamic stocks and conventional financial markets: another look using quantile-based approaches. 2023 Technological Forecasting and Social Change. 192 -

2. Alamgir, F. ; Amin, S.B. The nexus between oil price and stock market: evidence from South Asia. 2021 Energy Rep.. 7 693-703
   Paper not yet in RePEc: Add citation now
   

3. Campbell, J.Y. Stock returns and the term structure. 1987 J. Financ. Econ.. 18 373-399

4. Campbell, J.Y. ; Thompson, S.B. Predicting excess stock returns out of sample: can anything beat the historical average?. 2008 Rev. Financ. Stud.. 21 1509-1531

5. Chava, S. ; Gallmeyer, M. ; Park, H. Credit conditions and stock return predictability. 2015 J. Monet. Econ.. 74 117-132

6. Chava, S. ; Park, H. ; Gallmeyer, M.F. Credit Conditions and Expected Stock Returns. 2010 Working Paper:
   Paper not yet in RePEc: Add citation now
   

7. Chen, Y. ; Qiao, G. ; Zhang, F. Oil price volatility forecasting: threshold effect from stock market volatility. 2022 Technological Forecasting and Social Change. 180 -

8. Clark, T.E. ; West, K.D. Approximately normal tests for equal predictive accuracy in nested models. 2007 J. Econ.. 138 291-311

9. Dang, T.H.-N. ; Nguyen, C.P. ; Lee, G.S. ; Nguyen, B.Q. ; Le, T.T. Measuring the energy-related uncertainty index. 2023 Energy Econ.. 106817 -

10. Dutta, A. Oil price uncertainty and clean energy stock returns: new evidence from crude oil volatility index. 2017 J. Clean. Prod.. 164 1157-1166
    Paper not yet in RePEc: Add citation now
    

11. Erzurumlu, Y.O. ; Gozgor, G. Effects of economic policy uncertainty on energy demand: evidence from 72 countries. 2022 Journal of Chinese Economic and Business Studies. 20 23-38

12. Fama, E.F. ; French, K.R. Dividend yields and expected stock returns. 1988 J. Financ. Econ.. 22 3-25

13. Ghosh, I. ; Chaudhuri, T.D. ; Alfaro-Cortés, E. ; Gámez, M. ; García, N. A hybrid approach to forecasting futures prices with simultaneous consideration of optimality in ensemble feature selection and advanced artificial intelligence. 2022 Technological Forecasting and Social Change. 181 -

14. Ghosh, I. ; Jana, R.K. Clean energy stock price forecasting and response to macroeconomic variables: a novel framework using Facebook’s prophet, NeuralProphet and explainable AI. 2024 Technological Forecasting and Social Change. 200 -

15. Goyal, A. ; Welch, I. ; Zafirov, A. A Comprehensive 2022 Look at the Empirical Performance of Equity Premium Prediction. 2023 Swiss Finance Institute Research Paper:
    Paper not yet in RePEc: Add citation now
    

16. Guo, H. On the out-of-sample predictability of stock market returns. 2006 J. Bus.. 79 645-670

17. Huang, D. ; Jiang, F. ; Li, K. ; Tong, G. ; Zhou, G. Scaled PCA: a new approach to dimension reduction. 2022 Manag. Sci.. 68 1678-1695

18. Khalfaoui, R. ; Mefteh-Wali, S. ; Viviani, J.-L. ; Jabeur, S.B. ; Abedin, M.Z. ; Lucey, B.M. How do climate risk and clean energy spillovers, and uncertainty affect US stock markets?. 2022 Technological Forecasting and Social Change. 185 -

19. Kim, J.H. ; Rahman, M.L. ; Shamsuddin, A. Can energy prices predict stock returns? An extreme bounds analysis. 2019 Energy Econ.. 81 822-834

20. Lamont, O. Earnings and expected returns. 1998 J. Financ.. 53 1563-1587

21. Lettau, M. ; Ludvigson, S. Consumption, aggregate wealth, and expected stock returns. 2001 J. Financ.. 56 815-849

22. Li, Y. ; Liang, C. ; Huynh, T.L.D. Forecasting US stock market returns by the aggressive stock-selection opportunity. 2022 Financ. Res. Lett.. 50 -

23. Liang, C. ; Huynh, L.D.T. ; Li, Y. Market momentum amplifies market volatility risk: evidence from China’s equity market. 2023 J. Int. Financ. Mark. Inst. Money. 88 -

24. Liang, C. ; Luo, Q. ; Li, Y. ; Huynh, L.D.T. Global financial stress index and long-term volatility forecast for international stock markets. 2023 Journal of International Financial Markets, Institutions and Money. 88 -

25. Liang, C. ; Wang, L. ; Duong, D. More attention and better volatility forecast accuracy: how does war attention affect stock volatility predictability?. 2024 J. Econ. Behav. Organ.. 218 1-19

26. Lin, B. ; Su, T. The linkages between oil market uncertainty and Islamic stock markets: evidence from quantile-on-quantile approach. 2020 Energy Econ.. 88 -

27. Lintner, J. Inflation and security returns. 1975 J. Financ.. 30 259-280

28. Newey, W.K. ; West, K.D. A simple, positive semi-definite, Heteroskedasticity and autocorrelation consistent covariance matrix. 1987 Econometrica. 55 703-708

29. Nham, N.T.H. An application of a TVP-VAR extended joint connected approach to explore connectedness between WTI crude oil, gold, stock and cryptocurrencies during the COVID-19 health crisis. 2022 Technological Forecasting and Social Change. 183 -

30. Obaid, K. ; Pukthuanthong, K. A picture is worth a thousand words: measuring investor sentiment by combining machine learning and photos from news. 2022 J. Financ. Econ.. 144 273-297

31. Pearson, K. LIII. On lines and planes of closest fit to systems of points in space. 1901 Philos. Mag.. 2 559-572
    Paper not yet in RePEc: Add citation now
    

32. Peng, L. ; Liang, C. Sustainable development during the post-COVID-19 period: role of crude oil. 2023 Resources Policy. 85 -

33. Pettenuzzo, D. ; Timmermann, A. ; Valkanov, R. Forecasting stock returns under economic constraints. 2014 J. Financ. Econ.. 114 517-553

34. Rapach, D. ; Zhou, G. Forecasting Stock Returns. 2013 Handbook of economic forecasting. Elsevier: In

35. Ren, X. ; Zhong, Y. ; Cheng, X. ; Yan, C. ; Gozgor, G. Does carbon price uncertainty affect stock price crash risk?. 2023 Evidence from China. Energy Economics. 122 -

36. Salisu, A.A. ; Gupta, R. Oil shocks and stock market volatility of the BRICS: a GARCH-MIDAS approach. 2021 Glob. Financ. J.. 48 -

37. Tsai, C.-L. How do US stock returns respond differently to oil price shocks pre-crisis, within the financial crisis, and post-crisis?. 2015 Energy Econ.. 50 47-62

38. Vargas, M.R. ; Dos Anjos, C.E. ; Bichara, G.L. ; Evsukoff, A.G. Deep leaming for stock market prediction using technical indicators and financial news articles. 2018 En : In: 2018 International Joint Conference on Neural Networks (IJCNN). IEEE:
    Paper not yet in RePEc: Add citation now
    

39. Welch, I. ; Goyal, A. A comprehensive look at the empirical performance of equity premium prediction. 2008 Social Science Electronic Publishing. 21 1455-1508

40. Wold, H. Estimation of principal components and related models by iterative least squares. 1966 Multivariate Analysis. 1 391-420
    Paper not yet in RePEc: Add citation now
    

41. Xu, Y. ; Liang, C. ; Li, Y. ; Huynh, T.L. News sentiment and stock return: evidence from managers’ news coverages. 2022 Financ. Res. Lett.. 48 -

42. Yousfi, M. ; Zaied, Y.B. ; Cheikh, N.B. ; Lahouel, B.B. ; Bouzgarrou, H. Effects of the COVID-19 pandemic on the US stock market and uncertainty: a comparative assessment between the first and second waves. 2021 Technological Forecasting and Social Change. 167 -

43. Zhang, Y. ; Wahab, M. ; Wang, Y. Forecasting crude oil market volatility using variable selection and common factor. 2023 Int. J. Forecast.. 39 486-502
    Paper not yet in RePEc: Add citation now
    
44. Zhao, Z. ; Lau, C.K.M. ; Soliman, A. ; Farhani, S. Energy commodity and stock market interconnectedness: evidence from carbon emission trading system. 2023 Technol. Forecast. Soc. Chang.. 194 -
    Paper not yet in RePEc: Add citation now
    

1. The relationship between FinTech and energy markets in China. (2025). Huang, Yunying ; Yang, Cunyi ; Albitar, Khaldoon ; Zhou, QI.
   In: Technological Forecasting and Social Change.
   RePEc:eee:tefoso:v:217:y:2025:i:c:s0040162525002197.

   Full description at Econpapers || Download paper

2. The contagion effect of artificial intelligence across innovative industries: From blockchain and metaverse to cleantech and beyond. (2025). Arfaoui, Nadia ; Yarovaya, Larisa ; Naeem, Muhammad Abubakr.
   In: Technological Forecasting and Social Change.
   RePEc:eee:tefoso:v:210:y:2025:i:c:s0040162524006206.

   Full description at Econpapers || Download paper

3. Industry 4.0 and AI amid economic uncertainty: Implications for sustainable markets. (2025). Tiwari, Sunil ; Serret, Vanessa ; Si, Kamel ; Alshammari, Saad.
   In: Research in International Business and Finance.
   RePEc:eee:riibaf:v:75:y:2025:i:c:s0275531925000297.

   Full description at Econpapers || Download paper

4. Connectedness and systemic risk between FinTech and traditional financial stocks: Implications for portfolio diversification. (2025). Sadorsky, Perry ; Henriques, Irene.
   In: Research in International Business and Finance.
   RePEc:eee:riibaf:v:73:y:2025:i:pa:s0275531924004227.

   Full description at Econpapers || Download paper

5. Asymmetry in returns and volatility between green financial assets, sustainable investments, clean energy, and international stock markets. (2025). Tiwari, Aviral ; doğan, buhari ; Aikins, Emmanuel Joel ; ben Jabeur, Sami ; Doan, Buhari.
   In: Research in International Business and Finance.
   RePEc:eee:riibaf:v:73:y:2025:i:pa:s0275531924004197.

   Full description at Econpapers || Download paper

6. Decoding the nexus: How fintech and AI stocks drive the future of sustainable finance. (2025). Ren, Yi-Shuai ; Liu, Xukang ; Ma, Chao-Qun ; Klein, Tony.
   In: International Review of Economics & Finance.
   RePEc:eee:reveco:v:98:y:2025:i:c:s1059056025000401.

   Full description at Econpapers || Download paper

7. Asymmetric time-frequency risk spillovers between the Fourth Industrial Revolution assets and commodity futures: Is economic policy uncertainty a driving factor?. (2025). Su, Xianfang ; Zhao, Yachao.
   In: Global Finance Journal.
   RePEc:eee:glofin:v:64:y:2025:i:c:s1044028325000031.

   Full description at Econpapers || Download paper

8. Optimal portfolio selection of Chinas green bond and stock markets: Evidence from the multi-frequency extreme risk connectedness. (2025). Dai, Jing ; Huang, Wei-Qiang.
   In: Economic Analysis and Policy.
   RePEc:eee:ecanpo:v:85:y:2025:i:c:p:208-237.

   Full description at Econpapers || Download paper

9. Receiver or transmitter? Unlocking the role of green technology innovation in sustainable development, energy, and carbon markets. (2024). Wen, Cui-Ping ; Wang, Kai-Hua ; Xu, Bao-Chang ; Li, Xin.
   In: Technology in Society.
   RePEc:eee:teinso:v:79:y:2024:i:c:s0160791x24002513.

   Full description at Econpapers || Download paper

10. Robots for sustainability: Evaluating ecological footprints in leading AI-driven industrial nations. (2024). Rasool, Zeeshan ; Ali, Sajid ; Nazar, Raima ; Liu, Lei ; Wang, Canghong.
    In: Technology in Society.
    RePEc:eee:teinso:v:76:y:2024:i:c:s0160791x24000083.

    Full description at Econpapers || Download paper

11. Analyzing the interplay between eco-friendly and Islamic digital currencies and green investments. (2024). ben Zaied, Younes ; ben Jabeur, Sami ; Asl, Mahdi Ghaemi.
    In: Technological Forecasting and Social Change.
    RePEc:eee:tefoso:v:208:y:2024:i:c:s0040162524005134.

    Full description at Econpapers || Download paper

12. Country-level energy-related uncertainties and stock market returns: Insights from the U.S. and China. (2024). Zhang, Xincheng.
    In: Technological Forecasting and Social Change.
    RePEc:eee:tefoso:v:204:y:2024:i:c:s0040162524002336.

    Full description at Econpapers || Download paper

13. AI, FinTech and clean minerals: A wavelet analysis and quantile value-at-risk investigation. (2024). Lim, Weng Marc ; Husain, Afzol ; Karim, Sitara ; Tehseen, Shehnaz ; Chan, Ling-Foon.
    In: Resources Policy.
    RePEc:eee:jrpoli:v:99:y:2024:i:c:s0301420724006871.

    Full description at Econpapers || Download paper

14. Understanding the impact of Fintech, and Mineral Resources on Artificial Intelligence currency: A global evidence from QARDL Approach. (2024). Yang, Yandi ; Du, Xinqiang ; Jia, Xinlin ; Li, Wenting ; Song, Lina ; Gao, Hongyu.
    In: Resources Policy.
    RePEc:eee:jrpoli:v:95:y:2024:i:c:s0301420724005257.

    Full description at Econpapers || Download paper

15. The potential nexus between fintech and energy consumption: A new perspective on natural resource consumption. (2024). Zhu, YI ; Tan, Yanyu ; Lin, Yangyi ; Wang, Hao ; Liu, Bin.
    In: Resources Policy.
    RePEc:eee:jrpoli:v:89:y:2024:i:c:s0301420723013004.

    Full description at Econpapers || Download paper

16. Exploring ripple effect of oil price, fintech, and financial stress on clean energy stocks: A global perspective. (2024). Dong, Xueqin ; Huang, Lilong.
    In: Resources Policy.
    RePEc:eee:jrpoli:v:89:y:2024:i:c:s030142072301293x.

    Full description at Econpapers || Download paper

17. Fintech advancements for financial resilience: Analysing exchange rates and digital currencies during oil and financial risk. (2024). NAJMI, ARSALAN ; Afshan, Sahar ; Leong, Ken Yien ; Hoh, Calvin Wing ; Lelchumanan, Bawani ; Razi, Ummara.
    In: Resources Policy.
    RePEc:eee:jrpoli:v:88:y:2024:i:c:s0301420723011431.

    Full description at Econpapers || Download paper

18. Does digitalization help green consumption? Empirical test based on the perspective of supply and demand of green products. (2024). Liu, Yunqiang ; Peng, Yue ; Wang, Wei ; Zhen, Shangsong.
    In: Journal of Retailing and Consumer Services.
    RePEc:eee:joreco:v:79:y:2024:i:c:s0969698924001395.

    Full description at Econpapers || Download paper

19. Dependence of green energy markets on big data and other fourth industrial revolution technologies. (2024). Vigne, Samuel ; Urom, Christian ; Ndubuisi, Gideon ; Guesmi, Khaled ; Benkraiem, Ramzi.
    In: Journal of International Financial Markets, Institutions and Money.
    RePEc:eee:intfin:v:96:y:2024:i:c:s1042443124001276.

    Full description at Econpapers || Download paper

20. Tail connectedness between artificial intelligence tokens, artificial intelligence ETFs, and traditional asset classes. (2024). Yousaf, Imran ; Youssef, Manel ; Goodell, John W.
    In: Journal of International Financial Markets, Institutions and Money.
    RePEc:eee:intfin:v:91:y:2024:i:c:s104244312300197x.

    Full description at Econpapers || Download paper

21. Do clean energy stocks diversify the risk of FinTech stocks? Connectedness and portfolio implications. (2024). Sadorsky, Perry ; Henriques, Irene.
    In: Global Finance Journal.
    RePEc:eee:glofin:v:62:y:2024:i:c:s1044028324000917.

    Full description at Econpapers || Download paper

22. Does the carbon market signal the market efficiency of clean and dirty cryptocurrencies? An analysis of quantile directional dependence. (2024). Wei, YU ; Hu, Rui ; Wang, Qian ; Zhang, Jiahao.
    In: Finance Research Letters.
    RePEc:eee:finlet:v:67:y:2024:i:pb:s1544612324009437.

    Full description at Econpapers || Download paper

23. Dynamic dependence between quantum computing stocks and Bitcoin: Portfolio strategies for a new era of asset classes. (2024). Gözgör, Giray ; ben Jabeur, Sami ; Si, Kamel ; Rezgui, Hichem.
    In: International Review of Financial Analysis.
    RePEc:eee:finana:v:95:y:2024:i:pb:s1057521924004101.

    Full description at Econpapers || Download paper

24. Measuring the extreme linkages and time-frequency co-movements among artificial intelligence and clean energy indices. (2024). Zhou, Xiangjing ; Lu, Ran ; Abedin, Mohammad Zoynul ; Zeng, Hongjun.
    In: International Review of Financial Analysis.
    RePEc:eee:finana:v:92:y:2024:i:c:s105752192400005x.

    Full description at Econpapers || Download paper

25. Exploring volatility interconnections between AI tokens, AI stocks, and fossil fuel markets: evidence from time and frequency-based connectedness analysis. (2024). Yousaf, Imran ; Li, Yanshuang ; Umar, Muhammad ; Ijaz, Muhammad Shahzad.
    In: Energy Economics.
    RePEc:eee:eneeco:v:133:y:2024:i:c:s0140988324001981.

    Full description at Econpapers || Download paper

26. The nexus between ReFi, carbon, fossil energy, and clean energy assets: Quantile time–frequency connectedness and portfolio implications. (2024). Xue, Minggao ; Ye, Jing ; Lei, Heng.
    In: Energy Economics.
    RePEc:eee:eneeco:v:132:y:2024:i:c:s0140988324001646.

    Full description at Econpapers || Download paper

27. Volatility and returns connectedness between cryptocurrency and China’s financial markets: A TVP-VAR extended joint connectedness approach. (2024). Guangxi, Cao ; Xie, Wenhao ; Cao, Guangxi.
    In: The North American Journal of Economics and Finance.
    RePEc:eee:ecofin:v:74:y:2024:i:c:s1062940824001566.

    Full description at Econpapers || Download paper

28. How does digital finance alleviate fiscal stress? Evidence from China. (2024). Gu, Mengjie ; Shan, Haiyan.
    In: Economic Analysis and Policy.
    RePEc:eee:ecanpo:v:84:y:2024:i:c:p:1202-1221.

    Full description at Econpapers || Download paper

29. Can green bond hedges climate policy uncertainty in the United States: New insights from novel time-varying causality and quantile-on-quantile methods?. (2024). Li, Jing-Ping ; Wu, Jiawen ; Su, Chi-Wei.
    In: Economic Analysis and Policy.
    RePEc:eee:ecanpo:v:82:y:2024:i:c:p:1158-1176.

    Full description at Econpapers || Download paper

30. Revisiting the natural resources-financial development nexus in China: The importance of economic policy uncertainty. (2023). Li, Zhezhou ; Sun, Yizhong ; Wu, Qingyang ; Jin, Keyan ; Wang, Deyong.
    In: Resources Policy.
    RePEc:eee:jrpoli:v:86:y:2023:i:pb:s0301420723008930.

    Full description at Econpapers || Download paper

Report date: 2025-10-01 07:23:32 || Missing content? Let us know