Information Demand and Procurement

1999 ◽  
pp. 265-298
Author(s):  
David B. Lawrence
Keyword(s):  
2020 ◽  
Author(s):  
Hang Dong ◽  
Javier Gil-Bazo ◽  
Raluca Ratiu
Keyword(s):  

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marshall A. Geiger ◽  
Rajib Hasan ◽  
Abdullah Kumas ◽  
Joyce van der Laan Smith

PurposeThis study explores the association between individual investor information demand and two measures of market uncertainty – aggregate market uncertainty and disaggregate industry-specific market uncertainty. It extends the literature by being the first to empirically examine investor information demand and disaggregate market uncertainty.Design/methodology/approachThis paper constructs a measure of information search by using the Google Search Volume Index and computes measures of aggregate and disaggregate market uncertainty using institutional investors' trading data from Ancerno Ltd. The relation between market uncertainty, as measured by trading disagreements among institutional investors, and information search is analyzed using an OLS (Ordinary Least Squares) regression model.FindingsThis paper finds that individual investor information demand is significantly and positively correlated with aggregate market uncertainty but not associated with disaggregated industry uncertainty. The findings suggest that individual investors may not fully incorporate all relevant uncertainty information and that ambiguity-related market pricing anomalies may be more associated with disaggregate market uncertainty.Research limitations/implicationsThis study presents an examination of aggregate and disaggregate measures of market uncertainty and individual investor demand for information, shedding light on the efficiency of the market in incorporating information. A limitation of our study is that our data for market uncertainty is based on investor trading disagreement from Ancerno, Ltd. which is only available till 2011. However, we believe the implications are generalizable to the current time period.Practical implicationsThis study provides the first concurrent empirical assessment of investor information search and aggregate and disaggregate market uncertainty. Prior research has separately examined information demand in these two types of market uncertainty. Thus, this study provides information to investors regarding the importance of assessing disaggregate component measures of the market.Originality/valueThis paper is the first to empirically examine investor information search and disaggregate market uncertainty. It also employs a unique data set and method to determine disaggregate, and aggregate, market uncertainty.


2005 ◽  
Vol 2 (2) ◽  
pp. 108-119 ◽  
Author(s):  
Andrea Melis

This paper analyses and discusses the “positive” issues of the overriding international financial reporting standards principle of “true and fair view” in connection with corporate governance mechanisms. The analysis is based on case study evidence. Empirical evidence from the Parmalat case with regards to the role of the information supply and demand side agents is analysed. This study provides evidence on how the relationship between corporate financial reporting and corporate governance mechanisms may influence the enforcement of the international financial reporting standards overriding principle of “true and fair view”. Evidence is found that the enforcement of the “true and fair view” principle is intrinsically flawed when the accountability and the overall corporate governance systems do not work properly. Some evidence is also found for the argument that a lack in the quality of information supplied by the corporate financial system hurdles the role information demand side agents as effective monitors.


2015 ◽  
Vol 22 (03) ◽  
pp. 59-80
Author(s):  
Nhut Nguyen Huu Huy ◽  
Bao Nguyen Khac Quoc ◽  
Nhan Tran Nguyen Huy

Based on the panel data of 22 stock tickers in the two porfolios VN30 and HNX30 during 2008–2014, the research empirically investigates the impact of information on stock price volatilities in Vietnam. Non-traditional data collection approach and OLS and GARCH (1;1) models, along the use of data on information supply measured by the number of disclosures of the studied stocks and data on information demand measured by the number of search attempts on Google by means of Google Trend allow the research findings to be distilled into clear recommendations, which show that: (i) Both information supply and demand do affect stock price volatilities; and (ii) More profound and significant impact has been produced by information demand; particularly, effects of market-level information demand are more powerful than those of stock-level information demand.


Author(s):  
Stefan Linz

SummaryEvery month the Consumer Price Index for Germany (CPI) provides comprehensive and detailed information regarding the price development over time. However, when differences in the price level across regions in Germany have to be analysed at a given point in time, sufficient information is not available at present.Interest in regional consumer price data is shown by both scientists and policy makers. Currently, this information demand is not met as regional consumer prices or regional price comparisons are not provided by the Federal Statistical Office in Germany.Data available from the German Consumer Price Index is suitable to follow the price development over time but cannot be used directly to compare price levels of different regions because the goods tracked may be different from region to region.The article first considers the information demand and gives an overview of existing price data. Its main part refers to an empirical study which was conducted to check if existing Consumer Price Index data can be used to calculate regional consumer price comparisons by ex-post selecting comparable products.


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