Viktor Manahov
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4 publications
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482 downloads
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1173 views
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0 books
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Does capital market reaction to non-economic factors generate abnormal returns?
Dadang Prasetyo Jatmiko , Viktor Manahov , Nnamdi ObiosaInvestment Management and Financial Innovations Volume 11, 2014 Issue #4
Views: 551 Downloads: 215 TO CITE -
Do house prices overreact to relevant information? New evidence from the UK housing market
Hanxiong Zhang , Viktor Manahov , Robert Hudson , Hugh MetcalfInvestment Management and Financial Innovations Volume 12, 2015 Issue #3 pp. 33-46
Views: 510 Downloads: 197 TO CITE -
Investigating the determinants of dividend policy in emerging markets using a combination of exploratory variables
Dadang Prasetyo Jatmiko , Viktor Manahov , Nnamdi Obiosa doi: http://dx.doi.org/10.21511/imfi.13(2).2016.01Investment Management and Financial Innovations Volume 13, 2016 Issue #2 pp. 8-15
Views: 962 Downloads: 363 TO CITEs. The authors analyze the factors causing dividend policy by utilizing agency cost theory of dividend and transaction cost of dividend by using blue chips companies stock listed in the Indonesian Stock Exchange (IDX) from 2004-2013. They also examine the transaction costs of bid-offer spread and commission as the proxies with agency cost factors of insider ownership and shareholder dispersion. The authors observe that the independent variables affected the dividend policy simultaneously. In addition, they find that the bid-offer spread as a new proxy also had significant effects on the dividend policy
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The effect of ambiguity on the UK stock market: evidence from a new empirical approach
Run Qing Tan , Viktor Manahov , Jacco Thijssen doi: http://dx.doi.org/10.21511/imfi.14(4).2017.12Investment Management and Financial Innovations Volume 14, 2017 Issue #4 pp. 133-147
Views: 844 Downloads: 151 TO CITE АНОТАЦІЯThis study developed a new ambiguity measure using the bid-ask spread. The results suggest that the degree of ambiguity has an impact on the daily UK stock market returns, but ambiguity does not cause changes in the returns. This implies that UK stock prices or returns cannot be predicted using variation in the degree of ambiguity through linear models, such as the VAR model, which was used in the study. The two sets of results in the study show that the degree of ambiguity from the previous two days might affect stock market returns. The authors observe that an increase in the degree of ambiguity two days ago is associated with a positive premium required by the investors. On the other hand, the degree of ambiguity tends to be affected by its past five-day values. Thus, the degree of ambiguity seems to persist for five days until investors update their priors. The intuition behind the result is that the degree of ambiguity can affect the returns of the UK stock market and UK stock market returns can in turn have an impact on the degree of ambiguity. The authors also observe that the degree of ambiguity does not seem to predict stock market returns in the UK when one applies linear models. However, this does not mean that there is no non-linear relationship between the degree of ambiguity and stock market returns or stock returns.
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