Public Investment Decision Rules in a Neo-Classical Growing Economy

1978 ◽  
Vol 19 (2) ◽  
pp. 265 ◽  
Author(s):  
Robin W. Boadway
2007 ◽  
Vol 31 (10) ◽  
pp. 3348-3369 ◽  
Author(s):  
Gustavo A. Marrero ◽  
Alfonso Novales

2021 ◽  
Vol 251 ◽  
pp. 01114
Author(s):  
Haiyan Xuan ◽  
Cunliu Yao ◽  
Hongjian Li ◽  
Xiaoke Chang

The uncertainty of return rate will affect the investment decision. In this paper, the ARMA-GARCH model is used to describe the data characteristics of stock returns, and the Monte Carlo method is used to construct a scenario tree containing the stock return rate and node probability. The decision rules are used to determine the nodes on the scene tree, and two mean-variance models are established based on the scene tree. Finally, four stock data are selected to optimize the portfolio of the constructed model, the results show that the scenario tree has good advantages in describing the uncertainty problem, and the constructed model is effective and feasible; the difference between the two models is analyzed and compared, which provides a reference for different investors.


2010 ◽  
Vol 7 (3) ◽  
pp. 407-415
Author(s):  
Wessel Pienaar

This article provides guidelines on how public corporations can choose capital projects on the basis of economic and financial criteria. Project appraisal, selection and prioritisation criteria are listed, followed by a description of the way in which the result of each appraisal technique should be interpreted. Criteria that should be adhered to in the selection of mutually exclusive projects and the prioritisation of functionally independent projects in order to maximise the net output of public corporations in the long run are supplied. Applications of the proposed investment decision rules are illustrated by examples. Two techniques are proposed that may be used as additional decision-making instruments when evaluated projects show similar degrees of long-term financial viability.


2019 ◽  
pp. 097215091985848 ◽  
Author(s):  
Fatima Akhtar

Investment in pro-environmental financial assets like ‘green shares’ is rapidly emerging field in the area of personal finance. However, there has been a dearth of studies that could possibly explain the factors that indulge an investor to invest in ‘green shares’, in the context of a growing economy like India. Therefore, the present study makes an attempt to analyse the possible role of personality trait of an individual investor, keeping in mind his concern towards the environment, on his investment decision in ‘green shares’. This study has incorporated the Big-Five personality traits, along with the measures that determines an individual’s affection towards his environment and its relationship with his decision to invest in environmental friendly companies. A total of 572 individual investors participated in the study by completing a questionnaires about their personality, environmental concern and investment decision through disproportionate stratified random sampling. The collected data was analysed using Structural Equation Modelling (SEM). The results of the present study revealed that individuals largely differ in critical ways in terms of their personality traits, which in turn plays a very detrimental role towards deciding the investment decision in ‘green shares’.


Sign in / Sign up

Export Citation Format

Share Document