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Search: person:"Becker, Ying"
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Becker, Ying L.
12
Rosenfeld, Didier
8
Becker, Ying
4
Li, Xi
3
Guo, Lin
2
Nurmamatov, Odilbek
2
Reinganum, Marc R.
2
Shahrur, Husayn
2
Shahrur, Husayn K.
2
Aronson, Theodore R.
1
Becker, Ying L
1
Black, Keith
1
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Fox, Harold
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Fridson, Martin S.
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Financial analysts' journal : FAJ
4
Advances in Pacific Basin business, economics, and finance
1
CFA Institute Research Foundation Review 2018
1
Pacific-Basin finance journal
1
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ECONIS (ZBW)
15
OLC EcoSci
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1
Earnings announcement premium and return volatility : is it consistent with risk-return trade-off?
Tsafack, Georges
;
Becker, Ying
;
Han, Ki C.
- In:
Pacific-Basin finance journal
79
(
2023
),
pp. 1-21
Persistent link: https://www.econbiz.de/10014463244
Saved in:
2
Research Foundation Review 2018
Smith, Paul
-
2019
[The Research Foundation Review 2018 summarizes the offerings from the CFA Institute Research Foundation over the past year—books, literature reviews, workshop presentations, and other relevant material
Persistent link: https://www.econbiz.de/10012861238
Saved in:
3
The Current State of Quantitative Equity Investing
Becker, Ying
-
2018
Persistent link: https://www.econbiz.de/10012911906
Saved in:
4
Assessing asset tail risk with artificial intelligence : the application of artificial neural network
Becker, Ying L.
;
Guo, Lin
;
Nurmamatov, Odilbek
- In:
Advances in Pacific Basin business, economics, and finance
8
(
2020
),
pp. 23-52
Persistent link: https://www.econbiz.de/10012601378
Saved in:
5
Assessing Asset Tail Risk with Artificial Intelligence: The Application of Artificial Neural Network
Becker, Ying L.
;
Guo, Lin
;
Nurmamatov, Odilbek
-
2020
Value at risk (VaR) and expected shortfall (ES) are popular market risk measurements. The former is not coherent but robust, whereas the latter is coherent but less interpretable, only conditionally backtestable and less robust. In this chapter, we compare an innovative artificial neural network...
Persistent link: https://www.econbiz.de/10015088064
Saved in:
6
Asset Growth and Future Stock Returns : International Evidence
Li, Xi
-
2014
We study the return predictive power of asset growth related measures in the MSCI World Universe, which includes all the developed markets. We find strong return predictive power of asset growth related measures in these markets. This power is particularly stronger for two-year total asset...
Persistent link: https://www.econbiz.de/10013068580
Saved in:
7
Return Predictability Along the Supply Chain : The International Evidence
Shahrur, Husayn K.
-
2010
Using a sample of equities listed on the exchanges of 22 developed countries, we find that equity returns on customer industries lead the returns of supplier industries. This customer-supplier lead-lag effect is economically significant and is more pronounced for small suppliers and for supplier...
Persistent link: https://www.econbiz.de/10013145223
Saved in:
8
An Empirical Study of Multi-Objective Algorithms for Stock Ranking
Becker, Ying L.
-
2007
Quantitative models for stock selection and portfolio management face the challenge of determining the most efficacious factors, and how they interact, from large amounts of financial data. Genetic programming using quot;simple objectivequot; fitness functions has been shown to be an effective...
Persistent link: https://www.econbiz.de/10012776643
Saved in:
9
Asset growth and future stock returns : international evidence
Li, Xi
;
Becker, Ying
;
Rosenfeld, Didier
- In:
Financial analysts' journal : FAJ
68
(
2012
)
3
,
pp. 51-62
Persistent link: https://www.econbiz.de/10009680616
Saved in:
10
Asset Growth and Future Stock Returns : International Evidence
Becker, Ying L.
-
2012
The authors found strong return predictive power for measures related to asset growth in the MSCI World Universe. The predictive power applies to abnormal returns for up to four years after the initial measurement period, is particularly strong for two-year total asset growth rates, and is...
Persistent link: https://www.econbiz.de/10013106030
Saved in:
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