scholarly journals Trading Responses to Negative Signals

2014 ◽  
Vol 04 (06) ◽  
pp. 378-385 ◽  
Author(s):  
Mark W. Zikiye ◽  
Rebecca Abraham ◽  
Charles Harrington
Keyword(s):  
Trading Responses

Differential informativeness of analyst reports by investor types

2017 ◽  
Vol 43 (5) ◽  
pp. 567-594 ◽  
Author(s):  
Kyung Soon Kim ◽  
Jinwoo Park ◽  
Yun W. Park
Keyword(s):  
Institutional Investors ◽  
Trading Volume ◽  
Individual Investors ◽  
Release Dates ◽  
Firm Characteristics ◽  
Volume Data ◽  
Content Type ◽  
Trading Activities ◽  
Foreign Institutional Investors ◽  
Trading Responses

Purpose The purpose of this paper is to investigate whether there is any difference across individual investors, domestic and foreign institutional investors in trading volume responses to analyst reports. The authors also examine the determinants of trading volume responses using firm as well as forecast characteristics. Design/methodology/approach The authors use trading data from the Korean equity market. The authors divide investors into three classes of investors; namely, individual investors, domestic institutional investors, and foreign institutional investors. The authors then examine whether the trading responses to analyst reports vary across investor types, and how firm characteristics and characteristics of analyst reports influence the trading activities on the release dates across investor types. Findings Individual investors are the most responsive investor group, being responsive to analyst reports on small, neglected firms with large inside ownership as well as to analyst reports with optimistic forecasts. Domestic institutional investors are responsive to reports on neglected firms with high return volatility while foreign institutional investors show least responses. Originality/value There are few studies that investigate whether the trading responses to analyst reports vary across investor types and how firm characteristics and characteristics of analyst reports influence the trading activities on the release dates across investor types. Taking advantage of the trading volume data for the three main investor types in the Korean stock market, the authors study the trading volume responses for each investor type and make comparisons across investor types.

Trading responses to food market liberalization in Tanzania

Food Policy ◽  
1992 ◽  
Vol 17 (6) ◽  
pp. 431-442 ◽  
Author(s):  
Anita Santorum ◽  
Anna Tabaijuka
Keyword(s):  
Market Liberalization ◽  
Food Market ◽  
Trading Responses

Asymmetric Trading Responses to Credit Rating Announcements from Issuer- versus Investor-Paid Rating Agencies

2020 ◽  
Author(s):  
Pham Minh Quan Nguyen ◽  
Hung Xuan Do ◽  
Alexander Molchanov ◽  
Lily Nguyen
Keyword(s):  
Credit Rating ◽  
Rating Agencies ◽  
Trading Responses

Consecutive Earnings Surprises: Small and Large Trader Reactions

2012 ◽  
Vol 87 (5) ◽  
pp. 1709-1736 ◽  
Author(s):  
Devin M. Shanthikumar
Keyword(s):  
Relative Intensity ◽  
Data Availability ◽  
Earnings Surprises ◽  
Trading Response ◽  
Small Traders ◽  
Positive Series ◽  
Shed Light ◽  
Trading Responses

ABSTRACT Prior research demonstrates that investors respond differently to earnings surprises that are part of a string of consecutive earnings increases or surprises than to those that are not. To shed light on who values these patterns, I compare trading responses of small and large traders to earnings surprises that occur during a series of positive or negative surprises. I find that the relative intensity of small traders' trading response (and, to a lesser extent, that of medium traders) to earnings surprises generally increases as a series progresses. Small traders respond more negatively to the second (third) negative surprise in a series than to the first (second), and more positively for the first three surprises in a positive series. Moreover, I find that announcement-period returns are related to the trading of small and medium traders. These results suggest that less sophisticated smaller traders, responding to earnings series, contribute to previously documented pricing patterns. Data Availability: All data used in this study, with the exception of data obtained from an anonymous discount brokerage firm, are publicly available from the sources indicated in the text.

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