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Showing 805 to 808 of 808 entries
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COVID-19 and stock exchange return variation: empirical evidences from econometric estimation.

Environmental science and pollution research international

Latif Y, Shunqi G, Bashir S, Iqbal W, Ali S, Ramzan M.
PMID: 34155586
Environ Sci Pollut Res Int. 2021 Nov;28(42):60019-60031. doi: 10.1007/s11356-021-14792-8. Epub 2021 Jun 21.

This research looked at the effects of COVID-19 on a number of the world's most important stock exchanges, as well as the empirical relation between the COVID-19 wave and stock market volatility. In order to plan proper portfolio diversification...

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Latif Y, Shunqi G, Bashir S, et al. COVID-19 and stock exchange return variation: empirical evidences from econometric estimation. Environ Sci Pollut Res Int. 2021;28(42):60019-60031doi: 10.1007/s11356-021-14792-8.
Latif, Y., Shunqi, G., Bashir, S., Iqbal, W., Ali, S., & Ramzan, M. (2021). COVID-19 and stock exchange return variation: empirical evidences from econometric estimation. Environmental science and pollution research international, 28(42), 60019-60031. https://doi.org/10.1007/s11356-021-14792-8
Latif, Yousaf, et al. "COVID-19 and stock exchange return variation: empirical evidences from econometric estimation." Environmental science and pollution research international vol. 28,42 (2021): 60019-60031. doi: https://doi.org/10.1007/s11356-021-14792-8
Latif Y, Shunqi G, Bashir S, Iqbal W, Ali S, Ramzan M. COVID-19 and stock exchange return variation: empirical evidences from econometric estimation. Environ Sci Pollut Res Int. 2021 Nov;28(42):60019-60031. doi: 10.1007/s11356-021-14792-8. Epub 2021 Jun 21. PMID: 34155586; PMCID: PMC8216325.
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Could social interaction reduce the disposition effect? Evidence from retail investors in a directed social trading network.

PloS one

Jin X, Li R, Zhu Y.
PMID: 33571279
PLoS One. 2021 Feb 11;16(2):e0246759. doi: 10.1371/journal.pone.0246759. eCollection 2021.

With data collected from a directed social trading network, this paper investigates how social interaction affects the disposition effect. We constantly observe a negative association between them: After being exposed to social interaction, a trader's odds ratio to sell...

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Jin X, Li R, Zhu Y. Could social interaction reduce the disposition effect? Evidence from retail investors in a directed social trading network. PLoS One. 2021;16(2):e0246759doi: 10.1371/journal.pone.0246759.
Jin, X., Li, R., & Zhu, Y. (2021). Could social interaction reduce the disposition effect? Evidence from retail investors in a directed social trading network. PloS one, 16(2), e0246759. https://doi.org/10.1371/journal.pone.0246759
Jin, Xuejun, et al. "Could social interaction reduce the disposition effect? Evidence from retail investors in a directed social trading network." PloS one vol. 16,2 (2021): e0246759. doi: https://doi.org/10.1371/journal.pone.0246759
Jin X, Li R, Zhu Y. Could social interaction reduce the disposition effect? Evidence from retail investors in a directed social trading network. PLoS One. 2021 Feb 11;16(2):e0246759. doi: 10.1371/journal.pone.0246759. eCollection 2021. PMID: 33571279; PMCID: PMC7877604.
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RLSTM: A New Framework of Stock Prediction by Using Random Noise for Overfitting Prevention.

Computational intelligence and neuroscience

Zheng H, Zhou Z, Chen J.
PMID: 34113377
Comput Intell Neurosci. 2021 May 19;2021:8865816. doi: 10.1155/2021/8865816. eCollection 2021.

An accurate prediction of stock market index is important for investors to reduce financial risk. Although quite a number of deep learning methods have been developed for the stock prediction, some fundamental problems, such as weak generalization ability and...

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Zheng H, Zhou Z, Chen J. RLSTM: A New Framework of Stock Prediction by Using Random Noise for Overfitting Prevention. Comput Intell Neurosci. 2021;2021:8865816doi: 10.1155/2021/8865816.
Zheng, H., Zhou, Z., & Chen, J. (2021). RLSTM: A New Framework of Stock Prediction by Using Random Noise for Overfitting Prevention. Computational intelligence and neuroscience, 20218865816. https://doi.org/10.1155/2021/8865816
Zheng, Hongying, et al. "RLSTM: A New Framework of Stock Prediction by Using Random Noise for Overfitting Prevention." Computational intelligence and neuroscience vol. 2021 (2021): 8865816. doi: https://doi.org/10.1155/2021/8865816
Zheng H, Zhou Z, Chen J. RLSTM: A New Framework of Stock Prediction by Using Random Noise for Overfitting Prevention. Comput Intell Neurosci. 2021 May 19;2021:8865816. doi: 10.1155/2021/8865816. eCollection 2021. PMID: 34113377; PMCID: PMC8154285.
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Anatomy of a Business Case.

Nursing administration quarterly

Welch TD, Smith TB.
PMID: 34551422
Nurs Adm Q. 2022 Jan-Mar 01;46(1):88-95. doi: 10.1097/NAQ.0000000000000498.

A business case plan (BCP) provides a structured framework for evidence-based, transparent business decisions. It is an essential tool that when written well will provide you with the means to translate the cost and benefits of nursing practice proposals,...

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Welch TD, Smith TB. Anatomy of a Business Case. Nurs Adm Q. 2022;46(1):88-95doi: 10.1097/NAQ.0000000000000498.
Welch, T. D., & Smith, T. B. (2022). Anatomy of a Business Case. Nursing administration quarterly, 46(1), 88-95. https://doi.org/10.1097/NAQ.0000000000000498
Welch, Teresa D, and Smith, Todd B. "Anatomy of a Business Case." Nursing administration quarterly vol. 46,1 (2022): 88-95. doi: https://doi.org/10.1097/NAQ.0000000000000498
Welch TD, Smith TB. Anatomy of a Business Case. Nurs Adm Q. 2022 Jan-Mar 01;46(1):88-95. doi: 10.1097/NAQ.0000000000000498. PMID: 34551422.
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Showing 805 to 808 of 808 entries