Analysis Of Market Behavior Research Articles

DOES COVID-19 AFFECT SHARIAH COMPLIANT STOCK? EVIDENCE FROM SELECTED OIC COUNTRIES

This study aims to examine the movements of Islamic stock markets in ten selected OIC (Organization of Islamic Cooperation) countries in relation to Covid-19 cases, providing a comprehensive analysis of market behavior during the pandemic. The countries—Saudi Arabia, Pakistan, Bangladesh, Turkey, Indonesia, Oman, Qatar, UAE, Kuwait, and Bahrain—were chosen based on their large Muslim populations. Data was collected over a one-year period from January 1, 2020, to January 31, 2021, analyzing the relationship between Covid-19 cases and Islamic stock market indices. The study employed co-integration tests to identify long-term relationships and the Vector Error Correction Model (VECM) to explore short-run dynamics. The co-integration test results show a significant long-run relationship between Covid-19 cases and Islamic stock markets in most of the selected OIC countries. Specifically, the Shariah indices in Pakistan, Bangladesh, Turkey, Qatar, UAE, Kuwait, and Bahrain have a positive and significant relationship with Covid-19 cases. Conversely, Saudi Arabia, Indonesia, and Oman exhibit a negative long-term relationship with Covid-19 cases, suggesting a different market response. These results suggest that countries with diversified economies, particularly those relying on natural resources such as oil and agriculture, were more resilient during the pandemic. This study provides novel insights into the unique responses of Islamic stock markets in OIC countries during the pandemic, highlighting regional differences in market behavior and recovery. It suggests that despite the global economic downturn, OIC countries present attractive investment opportunities, particularly due to their swift recovery and resource-based economies, offering a robust portfolio for investors during crises.

Big Data Analytics for Financial Decision Making in Malaysia

Purpose: To aim of the study was to analyze the big data analytics for financial decision making in Malaysia. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: Big Data Analytics (BDA) significantly enhances financial decision-making in Malaysia by extracting valuable insights from large datasets. It helps improve risk management, customer segmentation, and operational efficiency for financial institutions. BDA enables predictive analysis of market behavior, supports personalized financial services, and enhances fraud detection capabilities. Despite its benefits, challenges like data privacy issues and the need for skilled data professionals persist. Unique Contribution to Theory, Practice and Policy: Diffusion of innovations theory, technology acceptance model (TAM) & network externalities theory may be used to anchor future studies on big data analytics for financial decision making in Malaysia. Prioritize investments in scalable and secure data infrastructure to support the deployment and integration of BDA technologies across financial institutions. This includes upgrading data storage systems, enhancing data processing capabilities, and implementing robust data integration frameworks. Develop and enforce clear regulatory frameworks that govern the ethical use of BDA in financial decision-making. Regulatory guidelines should address data privacy, security standards, transparency in algorithmic processes, and consumer rights protection.

Investigating the Market’s Behavior of Curly Red Chili in Bengkulu Indonesia Using Price Formation and Transmission Elasticity Model

Curly red chili is one of the strategic agricultural products in Indonesia, especially in Bengkulu, and its distribution process is an essential aspect. This process consists of market participants' behavior and price formation. This research aims to investigate the curly red chili market behavior and to analyze the price formation and price transmission elasticity in Bengkulu Province. Panel data were obtained from retailers and farmers during a month. Data were analyzed using qualitative descriptive analysis for market behavior, while linear regression was used for the factors affecting price formation and price transmission elasticity. The result of market behavior analysis indicates that collecting traders buy the chili from farmers, then sell it to the next level sellers without any treatment. If the farmers have no debt and price agreement, they negotiate the price with the traders. On the other hand, if the farmers have a loan and there is a price agreement, the price is determined by the moneylender. Furthermore, the chili price at retailers is formed by following the price change on the previous day, and it is also influenced by the price at previous traders. It can be concluded that the marketing system has a vertical effect and backward linkage between its elements. The chili price transmission elasticity is 0.675. This empirical result concluded that the rate of price change by 1 per cent at the consumer level would cause a price change of only 0.675 per cent in the trader stage. Thus, the market system is inefficient, and it is competing imperfectly.

Market sentiment and price dynamics in weak markets: A comprehensive empirical analysis of the soybean meal option market

AbstractThis study addresses key issues of market efficiency in weak global futures markets, focusing on the intricate relationship between market sentiment and options pricing. Employing rolling variance ratio tests and information‐sharing models for market dynamics analysis, and supplemented with Granger causality tests and impulse response findings, it reveals a significant, unidirectional impact of market sentiment on options pricing, especially during periods of heightened sentiment. These insights underscore the importance of considering time dynamics in market behavior analysis, offering a novel perspective on futures and options market understanding.

Market Structure and Market Behavior Analysis of Anti-Monopoly of Platform Economy

Monopoly and anti-monopoly regulation in the field of platform economy has gradually become a hot and difficult issue of global concern. Based on the competitive monopoly market structure of the platform economy, algorithmic price discrimination, algorithmic price collusion, exclusive monopoly agreements and prohibitions, and other price and nonprice market behaviors, this paper conducts a case study on the relationship between the special market structure, market behavior, and anti-monopoly regulation in the field of the platform economy. The study finds that the market behavior of the Platform economy is relatively independent of the market structure. The market structure of digital platforms is effective, realizing the transformation of the Marshall Conflict. The focus of anti-monopoly regulation of the Platform economy should be on market behavior.

Struktur Perilaku Dan Kinerja Pasar Komoditi Karet Di Desa Manggala Kabupaten Melawi

<em>This study aims to identify marketing channels, find out the structure, behavior and performance of the rubber market in Manggala Village, Melawi Regency.The market structure approach uses market share (market share), concentration ratio, and market entry barriers. The approach to market behavior using qualitative descriptive analysis explains with regard to the pricing system, and cooperation between marketing agencies.while the market performance approach uses marketing margin analysis. The respondents to the study were 67 rubber farmers and 13 marketing agencies involved in distributing rubber from producers to factories. The results showed that the structure of the rubber market in Manggala Village, Melawi Regency, led to an oligopoly. Based on the results of a descriptive analysis of market behavior, results were obtained in the process of pricing at the farmer level that farmers are not as determinants of prices but rather prices are determined by collecting traders and wholesalers. At the level of farmers and marketing institutions, there are as many as 21 people who cooperate with collecting merchants who have grocery stores, namely in the form of basic food debt,and paid when farmers sell their rubber production At the level of marketing institutions with marketing agencies, the cooperation carried out is with the provision of business capital to buy rubber from farmers and in the form of transportation of rubber picks to the place of collecting traders. The performance of the rubber market has not been efficient because the margins and profits of marketing institutions are uneven and farmers are the most disadvantaged because farmers are only price takers.</em>

Economic and sociological approach to the analysis of market behavior of economic entities

Metods. Methodological basis of the research is formed by the following methods: historical and logical – when establishing the stages of singling out of the economics as a self-sufficient sphere isolated from the influence of other social spheres in the scientific thought; general and special – when clarifying the specifics of economic and sociological approaches to the study of people's economic activity; analysis and synthesis – when studying the motivational component of economic activity; system approach – when representing the interconnectedness of spheres of social organization. Results. The main trends in the development of modern economic science are defined in the article. The trend of its gradual transition to the dominance of interdisciplinary methodology is indicated, which is primarily present in the institutional direction of economic thought. There are analyzed the areas of combination of economic and sociological approaches in the study of the behavior of economic entities, which take place in institutional analysis. The limitation of the use of sociological approaches in economic research is demonstrated, primarily due to their inability to describe the entire spectrum of human motivations to perform economic activity. Novelty. There has been demonstrated the prognostic significance of the combination of scientific achievements of not only sociology, but also social psychology, anthropology and psychobiology within the framework of the institutional theory, which allows establishing connections between a person's internal impulses to economic activity and the results of its implementation. Practical value. The results of the research are of an applied nature, as they allow to obtain an effective methodological approach, which opens up wide opportunities for researching the economic activity of people in all the interaction and interdependence of the components of the social organization.

Retraction Note: Artificial intelligence system–based oasis soil water quality measurement and network marketing behavior analysis

Groundwater is the only source of water for the development of oasis agriculture. However, due to the lack of scientific groundwater management and excessive exploitation, there are also varying degrees of problems in irrigation technology and crop planting structures, which have caused the oasis’s groundwater level to decline year by year, water quality deterioration, soil salinization, desertification, and vegetation degradation. With serious consequences, these problems continue to threaten the ecological protection and agricultural development of the oasis. This article focuses on the hydrological and ecological problems of oasis caused by over-exploitation of groundwater resources. Taking oasis as the research goal of this paper, combined with the ecological idea of “coordinating the development and utilization of water resources and ecological environment protection to achieve sustainable development”, this paper studies the data mining technology from the perspective of data mining, and focuses on the application and popularization of neural network in the marketing evaluation of the telecommunications industry. This article will introduce the development status and application fields of data mining technology and neural network technology, discuss the current status and future development trends of marketing plan evaluation methods in China’s electronic communications industry, and explore the current domestic telecommunications industry’s use of manual statistics and evaluation of marketing policies The author will use data mining, artificial intelligence, complex network analysis and other research methods to break through the boundaries of traditional user trend research. Based on various index data in corporate marketing and feedback data after marketing, the evaluation model based on BP algorithm is further developed, and the telecom marketing evaluation model makes up for the shortcomings of manual analysis.

RETRACTED ARTICLE: Artificial intelligence system–based oasis soil water quality measurement and network marketing behavior analysis

RETRACTED ARTICLE: Artificial intelligence system–based oasis soil water quality measurement and network marketing behavior analysis

An Application of the Associate Hopfield Network for Pattern Matching in Chart Analysis

Chart patterns are significant for financial market behavior analysis. Lots of approaches have been proposed to detect specific patterns in financial time series data, most of them can be categorized as distance-based or training-based. In this paper, we applied a trainable continuous Hopfield Neural Network for financial time series pattern matching. The Perceptually Important Points (PIP) segmentation method is used as the data preprocessing procedure to reduce the fluctuation. We conducted a synthetic data experiment on both high-level noisy data and low-level noisy data. The result shows that our proposed method outperforms the Template Based (TB) and Euclidean Distance (ED) and has an advantage over Dynamic Time Warping (DTW) in terms of the processing time. That indicates the Hopfield network has a potential advantage over other distance-based matching methods.

ANALISIS STRUCTURE CONDUCT PERFORMANCE PADA PEMASARAN KOMODITAS TOMAT DI KABUPATEN GARUT

Garut Regency currently has the position as the largest tomato producer in West Java. The large amount of tomato production encourages a fairly broad marketing that involves a lot of marketing actors. This study aims to determine the market structure, the behavior of marketing actors, and the performance of the tomato commodity market in Garut Regency. This research was conducted in 4 districts with the largest tomato production in Garut district, namely Cikajang, Cisurupan, Cigedug and Paisrwangi. The samples taken in this research were 40 farmers and tracked the marketing of tomatoes using the snowball sampling technique. The data analysis methods used are market concentration analysis, minimum scale efficiency analysis, descriptive qualitative analysis of market behavior, and marketing margin analysis and farmer's share. The results showed that the sales ratio of 8 large tomato traders was weakly concentrated which led to monopolistic competition. There are barriers to entry to this tomato commodity market. Market behavior shows that most marketing activities are selling, buying, transporting and utilizing price information among marketing actors. The majority of the sorting and grading activities are only carried out by collector trader and wholesaler. The greatest marketing risk management occurs in farmers and retailers. Marketing margin analysis shows that the highest marketing margin occurs when tomatoes are sold for market destinations outside the island, and the lowest marketing margin occurs when tomatoes are marketed for industrial purposes. The results of farmer's share analysis show that the highest share received by farmers is when selling tomatoes for industrial needs, this happens because of the short marketing chain and the selling price for the industry is contractually above the market price.

Corporate impact of carbon disclosures: a nonlinear empirical approach

PurposeThe purpose of this paper is to explore the impact of recent developments in corporate reporting, specifically from the carbon disclosure project (CDP) environment, in the evolution of European post-crisis financial markets.Design/methodology/approachTheoretical and instrumental advancements from nonlinear dynamics have been applied to the analysis of market behaviour and the online presence or reputation of major European listed banks.FindingsThe application of a nonlinear statistical methodology (i.e. the autoregressive fractionally integrated moving average [ARFIMA] estimation model) demonstrates the presence of a long history of collected data, thus indicating a certain degree of predictability in the time series. Also, this study confirms the existence of structural breakpoints, specifically the impact of the CDP reporting in both stock prices and online search trends of the sampled companies for certain periods.Research limitations/implicationsThis study introduces new methodological perspectives in corporate reporting studies, as the application of nonlinear techniques can be more effective in capturing corporate transparency issues. A limitation to overcome is to explore whether the impact of reporting is different due to the specific reporting behaviour each company adopts.Practical implicationsThe “breakpoint” concept should enlighten the importance to firms of providing more information in specific moments, which can impact on both traditional (i.e. stock prices) and modern (i.e. online popularity) performance metrics. Additionally, it should be taken into account by stakeholders, when analysing the accountability of firms to improve their decision-making processes and policymakers, for monitoring and contrasting speculative and insider trading activities.Social implicationsOnline search trends represent a new public attitude to how society “measures” the effectiveness of firms’ disclosure behaviours.Originality/valueCombining ARFIMA with structural break techniques can be regarded as a relevant and complementary addition to classic “market reaction” or “value relevance” techniques.

Throughput forecasting of different types of cargo in the adriatic seaport Koper

ABSTRACT An accurate forecasting system has manifested its role as an enabler in supply chains (SC), which makes the operation possible in a maximally synchronized manner. Its applications have gained the attention of scholars across various disciplines such as forecasting in market behavior analysis and tourism industry; material requirement planning in production; transport and logistics foresight in networks and facilities. Seaports, as specific SC members, are not an exception. Accurate forecasting is needed in almost all aspects of the ports’ operation to avoid financial losses related to inappropriate investments and planning. The paper addresses the forecasting of joint demand-supply cargo throughputs in the Adriatic Seaport Koper. The research presents a new forecasting approach, namely, DFA-ARIMAX (Dynamic Factor Analysis-ARIMAX modeling). External economic indicators were screened to obtain useful information using the DFA prior to directing the dynamic factors into the ARIMAX forecasting model. The principal component regression and Monte Carlo framework were included to identify indicators that are unique to the port. Findings revealed that a forecasting system by its enriched capabilities to predict the observed throughputs could be seen as Functional Decision Support System. The benchmarking shows that proposed models outperform competitive models. Practical implications are discussed in detail.

Potato Trading Based on Structure Conduct Performance (SCP) in the Centre of Vegetable Production at Central Java Indonesia

This study aims to examine potato trading based on Structure, Conduct, Performance (SCP) in the highland vegetable production centers of Central Java Province. Potato trading in highland vegetable production centers in Central Java province has been analyzed using Structure, Conduct, and Performance (SCP) techniques. The data was collected through a survey and observation. The market structure was analyzed by market share, the Herfindahl-Hirschman Index (HHI) and the Concentration Ratio for Biggest Four (CR4). Analysis of market behavior includes the presence or absence of collusive practices in determining prices, the process of selling and buying, the formation of equilibrium prices, payment systems (cash, credit), and cooperation with other trading institutions. While market performance is analyzed by marketing margins and farmer's share. The samples of potato farmers were determined by the random sampling method and the traders determined by the snowball sampling method. The number of samples used was 82 potato farmers, 45 collecting traders, 10 wholesaling traders, and 14 retailing traders. The results of market structure research on potato trading are oligopsonies. Price behavior at farmers (producer) level is more controlled by collectors who deal directly with farmers. Wholesalers dominate purchases from collectors, the payments are made in cash or paid later. Moreover, the collusive practice between collectors and wholesalers occurs, especially in the provision of capital or credit. Furthermore, the performance of the potato market based on the trading system margin is greatest in pattern 2, while the farmer’s share is greatest in pattern 1 in the potato trading system.

Palm Oil Marketing Model through Performance Analysis Approach in Simalungun Regency

The one of indicator that can demonstrate market performance is profit gained on industry. Market performance analysis can be seen by calculating marketing margin and farmer share. The length of existing marketing channels may not necessarily indicate that the marketing performance is inefficient. If the marketing chain is long and able to increase consumer satisfaction then it can be said that the marketing system is efficient.Some problems on marketing of palm oil commodity in Simalungun Regency are: producer’s farmers are generally small farmers who have weak bargaining power, not much know the market situation and price certainty. The market in palm oil commodities are still dominated by large farmers and other market participants who have a network or links with the consumer makes the low of farmer share.The purpose of this research is to determine the marketing strategy of palm oil using marketing performance approach to: (a) Analyze the margin and farmer share, to know the performance of palm oil industry in Simalungun Regency. (b) Analyze the relationship between structure, conduct and performance of the palm oil industry in Simalungun Regency.The analytical method used in this research is marketing channel analysis and analysis of market structure that seen from market concentration and barrier in and out of market, analysis of market behavior seen from marketing function that is exchange function, physical function and facility function. Market performance analysis is seen from farmer share and marketing margin.

Strategi Pemasaran Kelapa Sawit Melalui Pendekatan Analisis Structure Conduct And Performance (SCP) di Kabupaten Simalungun

The purpose of this study was to determine the marketing strategy of palm oil using a structure, behavior and marketing performance approach to: (1) Analyze the market structure of the palm oil industry in Tanah Jawa District, Simalungun Regency. (2) Analyzing the marketing function so that it is known the behavior of the palm oil market in Tanah Jawa District, Simalungun Regency. (3) Analyzing the margin and farmer share so that the performance of the palm oil industry is known in the Tanah Jawa District of Simalungun Regency. (4) Analysis of the relationship between the structure, behavior and performance of the palm oil industry in Tanah Jawa District, Simalungun Regency. The analytical method used in this research is marketing channel analysis and market structure analysis which is seen from market concentration and market entry barriers. Analysis of market behavior seen from the marketing function, namely the exchange function, physical function and facility functions. Analysis of market performance seen from the farmer share and marketing margin. Based on the results of research conducted, the market structure of the palm oil industry in Tanah Jawa District, Simalungun District is an imperfect competition market that is oligopolistic, with an average market concentration of 83 percent. This means that the market structure in Kecamatan Tanah Jawa is grouped in strict oligopoly and the average barriers to market entry are 9 percent, so there is no obstacle to enter the market in Tanah Jawa District, Simalungun Regency. Market behavior in the palm oil industry in Tanah Jawa District, Simalungun District can be seen from the pricing strategy and product strategy. The price strategy is carried out by collusion between market participants, namely making the highest production costs in consideration of sales prices. Product strategy is done by classifying products based on size, price and product quality. There are several marketing institutions, namely farmers, small agents, large agents, factories. Each marketing agency performs marketing functions. In marketing activities the existence of capital ties by farmers with small agents and large agents causes contractual ties. Market performance analysis (Market Performance) of palm oil in Tanah Java District, Simalungun District shows that there are 3 marketing channels with different margins. The highest total margin is found in marketing channel III, which is 34.06 percent, the more marketing institutions involved, the higher the marketing margin and the lower farmer share. The most efficient marketing channel is the marketing channel I (farmer-factory).

ANALISIS PEMASARAN IKAN BANDENG DI DESA PITUE KECAMATAN MA’RANG KABUPATEN PANGKEP

The purpose of this study to determine the pattern of marketing channels, marketing margin and the level of marketing efficiency Pitue fish in the Village, District Ma'rang Pangkep. This research uses descriptive method. The analysis used data analysis techniques and marketing agency channel, analysis of market behavior, marketing margin analysis, analysis of the share of farmers and marketing efficiency analysis. The results showed fish marketing channels is the marketing channel (milkfish aquaculture farmers, traders, retailers, end consumers) and II (pond fish farmers, retailers, consumers end), which is the most efficient channel marketing II. Marketing margins in the channel I is greater than the margin of marketing channels II. Marketing of fish in the pitue village district ma'rang Pangkajene archipelago efficient, because the value of marketing efficiency of marketing channels I and II was 11.52 per cent and 7.10 per cent less than 50 per cent

Price Forecasting for Future Contracts on Agribusiness Through Neural Network and Multivariate Spectral Analysis

This study aimed to compare the forecasting results from combining the two models, Multivariate Singular Spectrum Analysis (MSSA) and Artificial Neural Network (ANN), with the results obtained from classical forecasting and neural network models for prices of agricultural future contracts traded on BM&FBOVESPA. The forecasting results of the proposed combination, compared with those obtained from classical forecasting and neural network models showed the best performance for price forecasting. The use of the error measurements and predictive statistical test for the step-ahead confirm this. The research can help market professionals in the development and implementation of risk management policies due to the relevance of price forecasting as a planning tool, in addition to being useful in market behavior analysis in specifying the price trend of future contracts.

Foreword for the Special Section on Power System Planning and Operation Towards a Low-Carbon Economy

The nine papers in this special section on power system planning and operation towards a low-cost economy cover the following topics: power system planning models; power system operation methods and market behavior analysis; and risk assessment and emission management.

Pricing Strategy and Corporate Bond Value

Pricing strategy is expected to impose profound impacts on a firm’s cash flow and default risk. However, little research has been done to examine its direct impacts on financial markets. Applying event study methodology on the airline industry data, this paper aims to fill this gap by investigating whether and how corporate bond value is affected by pricing cut events in the airline industry in various time windows. The authors’ empirical results find significant positive abnormal bond returns in the announcement month. However, the price effect becomes insignificant and vanishes in the following months. By integrating financial market and marketing behavior analysis, this paper provides managerial insights for both marketing managers and corporate bond investors.