Efficiency of Bangladesh stock market: evidence from monthly index and individual firm data

2008 ◽  
Vol 18 (9) ◽  
pp. 749-758 ◽  
Author(s):  
M. K. Hassan ◽  
S. S. H. Chowdhury
Keyword(s):  
Stock Market ◽  
Individual Firm ◽  
Firm Data ◽  
Monthly Index

The production and cost structure of Israeli industry Evidence from individual firm data

1995 ◽  
Vol 65 (1) ◽  
pp. 45-81 ◽  
Author(s):  
Arie Bregman ◽  
Melvyn Fuss ◽  
Haim Regev
Keyword(s):  
Cost Structure ◽  
Individual Firm ◽  
Firm Data

scholarly journals The First Accounting Course: An Outcomes Assessment Approach Project

2011 ◽  
Vol 1 (6) ◽  
Author(s):  
David F. Bean ◽  
Richard A. Bernardi
Keyword(s):  
Assessment Tool ◽  
Outcomes Assessment ◽  
Investment Decision ◽  
Individual Firm ◽  
Final Project ◽  
Introductory Accounting ◽  
Income Statement ◽  
Assessment Approach ◽  
Firm Data ◽  
The Individual

This paper discusses a class project that can be used in an introductory accounting class as an outcomes assessment tool.  The project is done in groups of four to five students.  Each student analyzes one company’s ratios for a two year period and compares their firm’s ratios with their firm’s industry’s ratios.  When this is complete, the group then uses the individual firm data to make an investment decision.  The investment decision must be based on the data from the individual firm ratios.  Once the group has decided which firm to invest in, they then have to complete a pro-forma income statement for the firm assuming a $2 billion expansion.  Overall, the project is done in steps that help the students build their final project throughout the semester.  The project is submitted at the beginning of the 13th week of classes so that the instructor can grade it and hand it back to the students at the beginning of the 14th week of classes.  The groups present their projects during the last two class periods of the semester. 

Dividend Decisions and Earnings

1990 ◽  
Vol 5 (1) ◽  
pp. 3-25 ◽  
Author(s):  
Paul M. Healy ◽  
Franco Modigliani
Keyword(s):  
Aggregate Data ◽  
Accounting Data ◽  
Individual Firm ◽  
Inflation Accounting ◽  
Department Of Commerce ◽  
Firm Data

This paper examines whether managers use inflation accounting data in making dividend decisions. Two sources of inflation accounting data are used: individual firm data mandated by the FASB, and aggregate data estimated by the Department of Commerce. We find that aggregate dividend changes are related to aggregate inflation adjustments, but no such relation exists using individual firm data. Managers therefore, at least partially, consider the effects of inflation in making decisions to change their firms' dividends. However, their estimates of inflation are quite different from those reported to comply with FASB 33.

Predicting Stock Market Performance

2020 ◽  
pp. 1-10
Author(s):  
Thomas Plieger ◽  
Thomas Grünhage ◽  
Éilish Duke ◽  
Martin Reuter
Keyword(s):  
Stock Market ◽  
Risk Taking ◽  
Life Stress ◽  
Price Volatility ◽  
Individual Characteristics ◽  
Self Report ◽  
Financial Behavior ◽  
Market Simulation ◽  
Stock Market Performance ◽  
Risk Taking Behavior

Abstract. Gender and personality traits influence risk proneness in the context of financial decisions. However, most studies on this topic have relied on either self-report data or on artificial measures of financial risk-taking behavior. Our study aimed to identify relevant trading behaviors and personal characteristics related to trading success. N = 108 Caucasians took part in a three-week stock market simulation paradigm, in which they traded shares of eight fictional companies that differed in issue price, volatility, and outcome. Participants also completed questionnaires measuring personality, risk-taking behavior, and life stress. Our model showed that being male and scoring high on self-directedness led to more risky financial behavior, which in turn positively predicted success in the stock market simulation. The total model explained 39% of the variance in trading success, indicating a role for other factors in influencing trading behavior. Future studies should try to enrich our model to get a more accurate impression of the associations between individual characteristics and financially successful behavior in context of stock trading.

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