WHETHER CONSUMER SATISFACTION BENEFITS THE INVESTMENT PORTFOLIO: EMPIRICAL EVIDENCE FROM HONG KONG

2019 ◽  
pp. 1950015
Author(s):  
JIN LI ◽  
GEOFFREY TSO ◽  
DON WU
Keyword(s):  
Hong Kong ◽  
Consumer Satisfaction ◽  
Investment Portfolio ◽  
Satisfaction Index ◽  
Market Rate ◽  
Time Period ◽  
Stock Market Performance ◽  
Financial Investments ◽  
Beta Risk ◽  
Investment Portfolios

This paper aims to investigate the role of a consumer satisfaction index (CSI) for financial investments in the Hong Kong market. Using yearly data for Hong Kong consumer satisfaction index (HKCSI) to compile a CSI at company level, the effect of consumer satisfaction on company market value is identified. A hypothesized investment portfolio based only on CSI at company level is created, and its return compares with a widely used index measuring stock market performance in Hong Kong. A formal statistical test on the outperformance of portfolios that load on consumer satisfaction is conducted. Using the Capital Asset Pricing Model (CAPM), the beta risk of the entire time period is evaluated, and shows that the portfolio risk based on company level CSI is not significantly different than the market risk. This paper concludes therefore that consumer satisfaction can be incorporated into financial models and applied for formulating investment portfolios with better performance than the market rate in Hong Kong.

Financial Asset Management Using Artificial Neural Networks

2022 ◽  
pp. 1359-1380
Author(s):  
Roohollah Younes Sinaki ◽  
Azadeh Sadeghi ◽  
Dustin S. Lynch ◽  
William A. Young II ◽  
Gary R. Weckman
Keyword(s):  
Asset Management ◽  
Financial Asset ◽  
Investment Portfolio ◽  
Stock Market Crash ◽  
Time Period ◽  
Artificial Neural ◽  
The One ◽  
Investment Portfolios ◽  
Retirement Investment ◽  
Large Investment

Investors typically build portfolios for retirement. Investment portfolios are typically based on four asset classes that are commonly managed by large investment firms. The research presented in this article involves the development of an artificial neural network-based methodology that investors can use to support decisions related to determining how assets are allocated within an investment portfolio. The machine learning-based methodology was applied during a time period that included the stock market crash of 2008. Even though this time period was highly volatile, the methodology produced desirable results. Methodologies such as the one presented in this article should be considered by investors because they have produced promising results, especially within unstable markets.

scholarly journals Financial Asset Management Using Artificial Neural Networks

2020 ◽  
Vol 11 (3) ◽  
pp. 66-86
Author(s):  
Roohollah Younes Sinaki ◽  
Azadeh Sadeghi ◽  
Dustin S. Lynch ◽  
William A. Young II ◽  
Gary R. Weckman
Keyword(s):  
Asset Management ◽  
Investment Portfolio ◽  
Stock Market Crash ◽  
Time Period ◽  
Asset Classes ◽  
Artificial Neural ◽  
The One ◽  
Investment Portfolios ◽  
Retirement Investment ◽  
Large Investment

Investors typically build portfolios for retirement. Investment portfolios are typically based on four asset classes that are commonly managed by large investment firms. The research presented in this article involves the development of an artificial neural network-based methodology that investors can use to support decisions related to determining how assets are allocated within an investment portfolio. The machine learning-based methodology was applied during a time period that included the stock market crash of 2008. Even though this time period was highly volatile, the methodology produced desirable results. Methodologies such as the one presented in this article should be considered by investors because they have produced promising results, especially within unstable markets.

scholarly journals PREFERENSI KONSUMEN SAGU DI KOTA KENDARI

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Helviani Helviani ◽  
Sitti Aida Adha Taridala ◽  
Azhar Bafadal ◽  
Budiyanto Budiyanto
Keyword(s):  
Consumer Behavior ◽  
Customer Satisfaction ◽  
Conjoint Analysis ◽  
Consumer Satisfaction ◽  
Consumer Preferences ◽  
Consumer Preference ◽  
Raw Material ◽  
Market Demand ◽  
Satisfaction Index ◽  
Main Thing

Sago is a potential source of food with high calories and carbohydrates (rice equivalent). Sago consumer preferences can provide important information in making marketing strategy sago, and also is one of the indicators of market demand for the products of sago. The purpose of this study were to understand the srage of the purchase decision process undertaken by consumers of sago; analyze the level of customer satisfaction with sago attributes associated from sago; and analyze the consumer preference for various atrributes inherent in sago. The study was conducted in Kendari, Southeast Sulawesi Province. Respondents were all members of a population of 21 respondents consisting of 15 restaurant owners who provide meals made from sago and 6 owners agro-industry made from raw sago. The study used Engel Model Analysis, Costumer Satisfaction Index (CSI) Analysis, and Conjoint Analysis. The results of the analysis gives an overview of some consumer behavior based on the decision-making process shows that the benefits sought in the purchase buy sago sago is as a raw material to be processed into a menu of traditional food and traditional cakes Kendari. Color sago is the main thing, which will be seen and considered by consumers to make purchases between and will buy sago in traditional markets as close to the place of business. The level of consumer satisfaction in this study were satisfied with the preference category that consumers like sago with normal color (pure white), normal scent (odorless), low prices and package sizes are 20 kg. The resulting combination of sago four attributes (color, flavor, price and package sizes) is acceptable to describe consumers' desire sago in Kendari. Keywords: consumer behavior; sago; Engel Model; Customer Satisfaction Index (CSI); conjoint analysis

scholarly journals Kelly's Strategy Analysis in Optimizing Investment Portfolios in Foreign Exchange

2019 ◽  
Vol 8 (2S7) ◽  
pp. 245-250
Keyword(s):  
Financial Markets ◽  
Foreign Exchange ◽  
Optimal Portfolio ◽  
Minimal Risk ◽  
Investment Portfolio ◽  
Strategy Analysis ◽  
Average Value ◽  
Portfolio Returns ◽  
Strategy Model ◽  
Investment Portfolios

Investments in financial markets not only pay attention to promising profits, but also need to consider the risks that follow. Risks can be minimized by establishing an investment portfolio. This research was conducted with the aim of analyzing optimal portfolios on foreign exchange investments, so that investments made provide maximum returns at certain risks, or minimal risk on certain returns. The data analyzed in this study are foreign exchange traded at Bank Indonesia. Data analysis is carried out quantitatively using the Kelly Strategy model. The steps: (i) Calculation of individual foreign exchange returns, (ii) Determine the average value of individual foreign exchange returns, (iii) Determine the optimal portfolio using the Kelly strategy approach, and (iv) Determine portfolio returns and risks. Based on the results of the analysis obtained the allocation of weights that provide returns and risks to the optimal portfolio. A 95% USD currency is an optimal portfolio of the five currencies used. So that it can be used as a consideration for investors, in making investment decisions in the foreign exchange being analyzed.

scholarly journals ELEMENTS OF CONTROL THEORY APPLIED TO AN INVESTMENT PORTFOLIO IN THE CAPITAL MARKET. THE OPTIMAL TIME HORIZON FOR SELLING A PORTFOLIO

2015 ◽  
Vol 1 (310) ◽  
Author(s):  
Jerzy Tymiński
Keyword(s):  
Capital Market ◽  
Stock Exchange ◽  
Optimal Time ◽  
Dynamic Programming Method ◽  
Financial Instruments ◽  
Investment Portfolio ◽  
Warsaw Stock Exchange ◽  
Investment Portfolios ◽  
Rational Investment ◽  
The Capital Market

The article presents a concept of capital management for assembling investment portfolios. Two optimization variants of a portfolio to be purchased are discussed. Portfolio I is structural, using the „traditional model”. To assemble Portfolio II, elements of reliability theory and the dynamic programming method were used. The article also analyses the sale of a portfolio with respect to the demand for financial instruments in the capital market. The presented concept dealing with rational investment decisions during transactions at the Warsaw Stock Exchange can also be used by managers to create an effective portfolio of financial instruments.

scholarly journals MODEL KEPUTUSAN PEMBELIAN PAKAIAN BATIK DAN TINGKAT KEPUASAN KONSUMEN

2020 ◽  
Vol 6 (1) ◽  
pp. 67-74
Author(s):  
Hani Ernawati ◽  
Fitriana Fitriana
Keyword(s):  
Customer Satisfaction ◽  
Product Quality ◽  
Consumer Satisfaction ◽  
Least Square ◽  
Market Demand ◽  
Purchasing Decision ◽  
Ordinary Least Square ◽  
Satisfaction Index ◽  
Quality Product ◽  
The Relationship

Batik is a craft that has high artistic value and has become part of Indonesian culture that must be preserved. The level of consumer satisfaction towards Batik has to be known in order to understand the market demand, as well knowing the influencing factors that have postive effect on purchasing decision of Batik. The purposes of this study are (1) measures customer satisfaction levels of batik clothing, (2) measures the influence of quality product, brand, price, and access toward purchasing decision. Method - A total of 120 respondents were asked to rate their assesment on product quality, brand, price and access to get Batik clothes and their purchasing decision. Analysis of customer satisfaction used Consumer Satisfaction Index. The relationship between quality product, brand, price, and access toward purchasing decision determined by regression analysis Ordinary Least Square. The result of this study revealed that consumers’ satisfaction toward Batik clothes included in term of satisfied category. Brand and price had positive effect on purchasing decision, but product quality and accesibity didn’t.

Perilaku Konsumen Gula Putih Bermerek dan Tidak Bermerek di Kabupaten Jember

2021 ◽  
Vol 20 (1) ◽  
pp. 33-52
Author(s):  
Maulida Rachma Safira ◽  
Joni Murti Mulyo Aji
Keyword(s):  
Factor Analysis ◽  
Regression Analysis ◽  
Consumer Satisfaction ◽  
Satisfaction Level ◽  
Packaging Design ◽  
Consumer Decisions ◽  
Satisfaction Index ◽  
Measurement Results ◽  
Advertising Information ◽  
White Sugar

The purpose of this study was to determine the factors that influence consumer decisions in buying branded and unbranded white sugar, to determine the level of consumer satisfaction with branded and unbranded white sugar and to determine the factors that influence the level of consumer satisfaction with branded and unbranded white sugar in Jember Regency. This research was conducted using 200 respondents. The analysis tools used are logistic regression analysis, CSI analysis (Customer Satisfaction Index) and factor analysis. The results showed that the factors that significantly influence consumer decisions in buying branded and unbranded white sugar are income and number of family members. The CSI measurement results show that the consumer satisfaction index of unbranded and unbranded white sugar is in the fulfilled criteria, with a CSI value of 74.48% for branded and 70.30% for unbranded sugar. The results of the factor analysis show that there are three new factors related to the satisfaction level of consumers of branded and unbranded white sugar, namely the money value factor (product cleanliness and sugar prices), availability considerations factor (house distance, the ease of obtaining sugar, advertising, information from friends and information from family), and brand attribute factor (brand, color, packaging design and packaging weight).

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