Study on the investment choice of China's pension market—Based on the analysis of stock investment strategy

2017 ◽  
Vol 2 ◽  
pp. 29
Author(s):  
Hui Jin
Keyword(s):  
Influencing Factors ◽  
Pension Fund ◽  
Choice Theory ◽  
Investment Strategy ◽  
Strategy Use ◽  
Econometric Analysis ◽  
Equity Investment ◽  
Investment Choice ◽  
Stock Investment ◽  
Investment Opportunities

<p class="17" align="justify">This paper studies Chinese pension market investment, the analysis of stock investment holdings based on the strategy of choice, starting from China's pension market investment opportunities, combined with China's pension market investment choice theory, to discuss the pension equity investment ratio influencing factors. Then, this paper will be based on statistical and econometric analysis pension fund stock investment, stock investment holdings of pension in China is put forward specific strategies. I hope this study can provide reference for Chinese citizens to pension strategy use.</p>

Equilibrium analysis of one aggressive investment strategy

2014 ◽  
Vol 01 (04) ◽  
pp. 1450036
Author(s):  
Junya Jiang ◽  
Weidong Tian
Keyword(s):  
Investment Strategy ◽  
Equilibrium Analysis ◽  
Portfolio Insurance ◽  
Conservative Strategy ◽  
Investment Opportunities ◽  
High Return

This paper presents an equilibrium analysis of one type of aggressive investment strategy that ensures a high return subject to accepting risk. We focus on the comparison between this aggressive strategy and a relatively conservative strategy — portfolio insurance. We demonstrate that the aggressive strategy enlarges investment opportunities, and that the market behaves more stable with the presence of aggressive investors than the market with conservative investors only.

scholarly journals Evaluation and Influencing Factors of Industrial Pollution in Jilin Restricted Development Zone: A Spatial Econometric Analysis

2021 ◽  
Vol 13 (8) ◽  
pp. 4194
Author(s):  
Yanhua Guo ◽  
Lianjun Tong ◽  
Lin Mei
Keyword(s):  
Influencing Factors ◽  
Industrial Pollution ◽  
Production Capacity ◽  
Pollution Index ◽  
Green Technology ◽  
Econometric Analysis ◽  
Ecological Civilization ◽  
Entropy Weight ◽  
Spatial Econometric ◽  
Spatial Econometric Analysis

Winning the battle against pollution and strengthening ecological protection in all respects are vital for promoting green development and building a moderately prosperous ecological civilization in China. Using the entropy weight method, this paper establishes and evaluates a comprehensive industrial pollution index that contains and synthesizes six major industrial pollutants (wastewater, COD, waste gas, SO2, NOx, and solid waste) in the 2006–2015 period. Subsequently, this paper studies the spatiotemporal characteristics and influencing factors of industrial pollution via the Moran index and spatial econometric analysis. The empirical results indicate that (1) the temporal evolution of the industrial pollution index is characterized by an overall trend of first decreasing and then increasing. (2) The industrial pollution index of each county has certain geographical disparities and significant spatially polarized characteristics in 2006, 2009, 2012, and 2015. (3) The Moran test shows that there is a relatively significant spatial autocorrelation of the industrial pollution index among counties and that the geographical distribution of the industrial pollution index tends to show clustering. (4) Spatial regression models that incorporate spatial factors better explain the influencing factors of industrial pollution. The economic development level, technological progress, and industrialization are negatively correlated with industrial pollution, while population density and industrial production capacity are positively correlated. (5) Consequently, as relevant policy recommendations, this paper proposes that environmental cooperation linkage mechanisms, environmental protection credit systems, and green technology innovation systems should be established in different geographical locations to achieve the goals of green county construction and sustainable development.

Institution of Banking Pension Provisions: Preconditions, Nature, Competition with Traditional Institutions

2015 ◽  
Vol 2015 (2) ◽  
pp. 27-55
Author(s):  
Yuriy Ezrokh
Keyword(s):  
Financial Institutions ◽  
Pension Fund ◽  
Pension System ◽  
Pension Reform ◽  
Banking System ◽  
Pension Funds ◽  
Econometric Analysis ◽  
Traditional Institutions ◽  
State Pension ◽  
Pension Benefits

The article analyzes the pension reform implemented in Russia in 2013–2014, provides the modeling of possible pensions, determines the efficiency boundaries for the use of insurance and savings-insurance schemes offered by the Pension Fund of Russia. The author examines the activities and effectiveness in managing pension savings and reserves from non-state pension funds, especially the system of voluntary savings insurance. The study identifies the challenges faced by these financial institutions, which constrain the development of the Russian pension system. Drawing on logical and econometric analysis the author identifies the competitive opportunity for banks to participate in the Pension Benefits Act, calculates the proposals’ efficiency for future retirees and the banking system as a whole, determines the contribution of the proposed solutions to enhanced competition and more competitive banking environment.

scholarly journals How Housing Affects Stock Investment—An SEM Analysis

Economies ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 26 ◽  
Author(s):  
Jiandong Li ◽  
Jianmei Zhao
Keyword(s):  
Household Finance ◽  
Equation Model ◽  
Sem Analysis ◽  
Urban China ◽  
Combined Effect ◽  
Wealth Effects ◽  
Negative Effects ◽  
Equity Investment ◽  
Stock Investment ◽  
Structure Equation Model

The extant literature regarding the effects of housing on stock investment shows inconsistent findings, either positive or negative effects have been reported. This paper investigates the mechanisms by which housing affects household stock investment through a structure equation model (SEM). Applying the data from the China Household Finance Survey (CHFS), we confirm and quantify the magnitudes of contemporaneous “wealth effects” and “crowd-out effects” of housing on household equity investment. Overall, the combined effect of housing on stock investment is positive in the context of urban China.

Private Equity Investment Strategy in India's Port Sector

2007 ◽  
Vol 11 (1) ◽  
pp. 71-83 ◽  
Author(s):  
Nirupama Kulkarni ◽  
Alok Prusty
Keyword(s):  
Private Equity ◽  
Investment Strategy ◽  
Equity Investment

scholarly journals Investment strategy performance under tracking error constraints

2019 ◽  
Vol 16 (1) ◽  
pp. 239-257 ◽  
Author(s):  
Carig Evans ◽  
Gary van Vuuren
Keyword(s):  
Performance Indicators ◽  
Tracking Error ◽  
Efficient Frontier ◽  
Investment Strategy ◽  
Risk Return ◽  
Portfolio Strategies ◽  
Investment Opportunities ◽  
Strategy Performance ◽  
Relationship Of ◽  
Mean Variance

Recent (2018) evidence identifies the increased need for active managers to facilitate the exploitation of investment opportunities found in inefficient markets. Typically, active portfolios are subject to tracking error (TE) constraints. The risk-return relationship of such constrained portfolios is described by an ellipse in mean-variance space, known as the constant TE frontier. Although previous work assessed the performance of active portfolio strategies on the efficient frontier, this article uses several performance indicators to evaluate the outperformance of six active portfolio strategies over the benchmark – subject to various TE constraints – on the constant TE frontier.

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