Modelling stock selection using ordered weighted averaging operator

Hajjami, Mohaddeseh; Amin, Gholam R.

doi:10.1002/int.22029

Cited by 18 publications

(6 citation statements)

References 23 publications

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“…In this regard, there is a dearth of literature assessing the impact of celebrity endorsement, and the products endorsed are investigated on the financial implications for retail investors (Ding et al, 2011;Kang et al, 2019;Prentice and Zhang, 2017). Celebrity endorsements can send a positive signal to the retail investors that the firm is financially sound (Ding et al, 2011;Prentice and Zhang, 2017), and thus they can invest in blue-chip companies (Jaiyeoba et al, 2018), growth stocks (Huang, 2019;Thakur et al, 2018), high beta stocks (Hajjami and Amin, 2018), and seasonal stocks (Gunaratne and Yonesawa, 1997). The present study intends to measure the final response of retail investors towards selecting specific stocks after considering the financial health and brand image of companies.…”

Section: Stock Investment Intentionsmentioning

confidence: 99%

Do celebrity endorsements influence stock investment intentions?

Shiva

Arora²,

Rishi³

2022

MIP

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PurposeCelebrity endorsement is a preferred marketing communication strategy adopted by business firms. The present study suggests theoretical underpinnings for investigating the effect of celebrity endorsement on individual investors' intentions to invest in the shares of companies. The study integrates marketing communication and behavioural finance theories to understand investor behaviour in the stock market.Design/methodology/approachThe study used a questionnaire based on a conjoint analysis technique. The retail investors from India filled out the questionnaire. The authors developed an orthogonal design to generate retail investors' investment intentions and applied the full-profile conjoint method.FindingsThe results reveal that investors prefer to invest in technology-related firms when they employ entertainment celebrities to endorse their products. Investors prefer that entertainment celebrities' personalities match the single brand only they are endorsing. Further, investors choose to invest during corrective market trends in emerging economies, such as India.Originality/valueThe study offers practical implications for corporate entities and marketing professionals by analysing retail investors' investment intentions in financial markets.

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Section: Stock Investment Intentionsmentioning

confidence: 99%

Do celebrity endorsements influence stock investment intentions?

Shiva

Arora²,

Rishi³

2022

MIP

View full text Add to dashboard Cite

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“…Framework. e stock selection model proposed in this article mainly includes two steps: stock prediction (used to construct predictive factors) and stock scoring (used to evaluate stock value) [13][14][15]. e overall framework is shown in Figure 3.…”

Section: Stock Prediction Modelmentioning

confidence: 99%

Application and Comparison of Multiple Machine Learning Models in Finance

Jiang

2022

Scientific Programming

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Accurate and effective financial data analysis is very important for investors to avoid risks and formulate profitable investment strategies. Therefore, the analysis of financial data has important research significance. However, the financial market is a complex nonlinear dynamic system affected by many factors. It is very challenging to analyze the financial data according to the obtained information. Among them, stock selection is the most typical financial data mining problem. The core of stock selection is to design a systematic scoring mechanism to quantitatively score stocks so as to more intuitively reflect the investment value of stocks. The scoring mechanism is based on the assumption that stocks with higher scores have higher investment value and stocks with lower scores have lower investment value. The stock selection model proposed in this paper mainly includes two steps: stock prediction and stock scoring. First, construct stock predictors and use machine learning forecasting methods to predict the future price of each stock. Second, construct a stock scoring mechanism to evaluate each stock through the predictive factors and financial factors in the previous step. Finally, select high-scoring stocks and make equal-weight investments. This paper applies the model to the empirical study of the A-share market, verifies its feasibility and effectiveness, and makes a systematic comparison with other benchmark models.

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“…A typical technique used during asset screening involves assigning a score to each asset [20,21]. The simplest technique to assign scores to assets is the weighted sum of the form ∑w i y i , where y i is the value of the ith factor and w i is its weight (e.g., [19,22,23]). The main advantage of the weighted sum is its simplicity, and its properties of transitivity, comparability, and independence with respect to irrelevant alternatives, which is convenient for creating a ranking of assets.…”

Section: Literature Reviewmentioning

confidence: 99%

A Compensatory Fuzzy Logic Model in Technical Trading

Rodríguez-Cándido

Andrade

Solares

et al. 2021

Axioms

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This work presents a novel approach to prediction of financial asset prices. Its main contribution is the combination of compensatory fuzzy logic and the classical technical analysis to build an efficient prediction model. The interpretability properties of the model allow its users to incorporate and consider virtually any set of rules from technical analysis, in addition to the investors’ knowledge related to the actual market conditions. This knowledge can be incorporated into the model in the form of subjective assessments made by investors. Such assessments can be obtained, for example, from the graphical analysis commonly performed by traders. The effectiveness of the model was assessed through its systematic application in the stock and cryptocurrency markets. From the results, we conclude that when the model shows a high degree of recommendation, the actual financial assets show high effectiveness.

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Modelling stock selection using ordered weighted averaging operator

Cited by 18 publications

References 23 publications

Do celebrity endorsements influence stock investment intentions?

Do celebrity endorsements influence stock investment intentions?

Application and Comparison of Multiple Machine Learning Models in Finance

A Compensatory Fuzzy Logic Model in Technical Trading

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