Browsing by Author "Molchanov A"

Now showing 1 - 3 of 3
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    Asymmetric trading responses to credit rating announcements from issuer- versus investor-paid rating agencies
    (John Wiley and Sons, Ltd, 2024-01) Nguyen QMP; Do HX; Molchanov A; Nguyen L; Nguyen NH
    The credit rating industry has traditionally followed the “issuer-pays” principle. Issuer-paid credit rating agencies (CRAs) have faced criticism regarding their untimely release of negative rating adjustments, which is attributed to a conflict of interests in their business model. An alternative model based on the “investor-pays” principle is arguably less subject to the conflict of interest problem. We examine how investors respond to changes in credit ratings issued by these two types of CRAs. We find that investors react asymmetrically: They abnormally sell equity stakes around rating downgrades by investor-paid CRAs, while abnormally buying around rating upgrades by issuer-paid CRAs. Our study suggests that, through their trades, investors capitalize on value-relevant information provided by both types of CRAs, and a dynamic trading strategy taking advantage of this information generates significant abnormal returns.
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    Technical trading rules, loss avoidance, and the business cycle
    (Elsevier B V, 2023-12) Ergun L; Molchanov A; Stork P
    We show that simple technical trading rule (TTR) strategies substantially reduce investment left tail risk. An investor following a TTR strategy can also avoid a high percentage of extremely negative returns. This percentage increases substantially during recessions. Interestingly, tail risk reduction does not come at a cost of lower performance – risk adjusted returns of TTR strategies are in fact higher than those of a buy-and-hold strategy. Our findings are robust to changes in trading strategy specifications. They hold in 38 international equity markets, as well as in a large sample of individual US stocks, and survive a reality check bootstrap.
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    The myth of business cycle sector rotation
    (John Wiley and Sons Ltd., 2023-09-06) Molchanov A; Stangl J
    Conventional wisdom suggests that sectors/industries provide systematic performance and that business cycle rotation strategies generate excess market performance. However, we find no evidence of systematic sector performance where popular belief anticipates it will occur. At best, conventional sector rotation generates modest outperformance, which quickly diminishes after allowing for transaction costs and incorrectly timing the business cycle. The results are robust to alternative sector and business cycle definitions. We find that relaxing sector rotation assumptions and letting any industry excess return predict future returns of other industries results in predictability not significantly different than what would be expected by random chance.