The current issue and full text archive of this journal is available at www.emeraldinsight.com/1475-7702.htm Individual differences and analyst forecast accuracy Ting Luo Department of Accounting, School of Economics and Management, Tsinghua University, Beijing, People’s Republic of China, and Analyst forecast accuracy 257 Wenjuan Xie Department of Accounting and Finance, Whittemore School of Business and Economics, University of New Hampshire, Durham, New Hampshire, USA Abstract
Words: 11796 - Pages: 48
World Journal of Social Sciences Vol. 1. No. 1. March 2011. Pp.107- 124 Exploring Consumer Behavior in the Context of Fast Food Industry in Dhaka City Nadia Farhana* and Shohana Islam** People in the Indian subcontinent have long been known for the delicious foodstuffs they prepare, serve, and eat. Times gone by suggest that they have used up a lot of their time, energy, and wealth to arrange their meals. But with the turn of the century, and changes in the socio-economic shape of the country
Words: 6137 - Pages: 25
Debt and Value: Beyond MillerModigliani Aswath Damodaran Stern School of Business Aswath Damodaran 1 The fundamental question: Does the mix of debt and equity affect the value of a business? Assets Existing Investments Generate cashflows today Includes long lived (fixed) and short-lived(working capital) assets Expected Value that will be created by future investments Assets in Place Debt Liabilities Fixed Claim on cash flows Little or No role in management Fixed Maturity Tax
Words: 7096 - Pages: 29
the community. This paper considers the simple type of regression analysis where there is one dependent variable and one independent variable in the community. In this particular case the relation between two variables determined by a straight line. The best way to establish a relationship between the price of Pizza and income is through regression analysis (Harrell, 2001). To come up with a good pattern and analysis, one has to draw a diagram showing income measurements on the horizontal
Words: 918 - Pages: 4
Assignment on MKT 201 MARKETING MANAGEMENT Prepared for Farheen L. Khurrum Lecturer Department of Business Adminstration Prepared by Jamal Uddin Ahmad ID # 2007–1-10-127 Section 6 Department of Business Adminstration East West University What have been the key success factors for Krispy kreme? Ans: Krispy Kreme is the “Hottest Brand in America”. It was founded in 1937. From that time it has a brand
Words: 302 - Pages: 2
CHAPTER 1 1.1 Introduction: Real estate is a term used to describe land, including all natural attributes as well as man-made improvements of a permanent nature placed on the land thereon such as buildings. A real estate agency is a firm whose work is to bring together a buyer and seller or even landlord and tenant. The property being exchanged in this case refers to apartments, houses, office space etc. Details availed to clients include size of the property, location, available services, cost
Words: 3284 - Pages: 14
Kudler Fine Foods Mia Broadnax ECO/365 11JUN13 Ed Hartmann Kudler Fine Foods Introduction Kudler Fine Foods is an elegant specialty food store located in the metropolitan area of San Diego. Kudler has expanded her company into three specialty locations. Every location is roughly 8,000 square feet located in a soaring travel district. Kudler offers the most exceptionally optimum in local and international fare. They provide bakery and pastry goods, wine, crisp produce, juicy meat and
Words: 1107 - Pages: 5
problems in the reputation literature are addressed – the need for a comprehensive and well-accepted definition, the difficulty in operationalizing corporate reputation, and the ongoing need for more developed theory. Two main findings evolve from this analysis: (1) reputation may have different dimensions and is issue specific, and (2) different stakeholder groups may have different perceptions of corporate reputations. The implications for future research are discussed. Corporate Reputation Review (2010)
Words: 16404 - Pages: 66
Regression The estimated regression equation is = 429.5114 − 1.8149Seats-Inside + 1.2719Seats-Patio − 2.1021MedIncome − 0.0158MedAge + 8.6604BachDeg%. These signs do not match our a priori reasoning for Seats-Inside, MedIncome, and MedAge. Regression Analysis | | | | | | | | | | | | | | R² | 0.233 | | | | | | Adjusted R² | 0.177 | n | 74 | | | | R | 0.483 | k | 5 | | | | Std. Error | 124.529 | Dep. Var. | Sales/SqFt | | | | | | | | | ANOVA
Words: 1239 - Pages: 5
CANDIDATE REPORT(ID:310104198401210894) PERSONAL INFORMATION: |Name |So Wen | |Gender |Male | |Present Location |Shanghai
Words: 1030 - Pages: 5
