Journal articles: 'Market behaviour'

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Arup, Kumar Sarkar. "Analysis of Individual Investors Behaviour of Stock Market." International Journal of Trend in Scientific Research and Development 1, no. 5 (2017): 922–31. https://doi.org/10.31142/ijtsrd2394.

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At the time of investment investors' emotional inclinations, ingrained thought patterns, psychological biases, and other factors may affect their investment behaviour. In this context the research work has made an analysis of individual investors behavior of stock market and main focusof the study is to analyse the effect of demographic factors and investor awareness on the individual investor behaviour and the study is done by using the primary data collected from the selected stock market investors in Purba and Paschim Medinipur district in West Bengal. The results of the association between demographic factors and individual investor behaviour using chi square test shows that age, educational background and experience has significant effect on the individual investor behaviour in all dimensions. But at the same time occupation has significant effect only on heuristics, prospects and herding dimensions and there is no effect of occupation on the market dimension of individual investor behaviour in stock market in the selected districts. While annual income has significant effect on prospect and herding dimensions but no significant effect on heuristics and market dimensions of investor behaviour in stock market. Analysis of the association between investor awareness and individual investor behaviour shows that knowledge of stock market of an individual investor, following stock market news on T.V and attending seminars affects only his her heuristics, markets and herding behaviour but it does not affect on prospects behaviour of individual investor in Purba and Paschim Medinipur district in West Bengal. Further, the issue of following websites of the NSE or BSE affects individual investor behaviour in stock market on heuristics, markets and herding behaviour but it does not affect on herding behaviour of individual investor in stock market in this two districts. Consultation with licensed brokers or any other intermediary for getting financial advice affect individual investor behaviour in stock market on prospects and markets dimensions but not on heuristics and herding. Arup Kumar Sarkar "Analysis of Individual Investors Behaviour of Stock Market" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-5 , August 2017, URL: https://www.ijtsrd.com/papers/ijtsrd2394.pdf

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Anuar, Norazura, Zukarnain Zakaria, Rossilah Jamil, and Mohd Roslan Ismail. "The effects of extreme market conditions on investors’ herding behavior in the Malaysian stock market." Edelweiss Applied Science and Technology 8, no. 6 (2024): 2121–32. http://dx.doi.org/10.55214/25768484.v8i6.2393.

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The presence of herding behaviour could cause abnormality and extremely volatile markets, especially in emerging markets. This behaviour has been studied extensively but with inconclusive results. This paper investigates the effects of extreme market conditions on investors’ herding behaviour in the Malaysian stock market. Two common measures for herding behaviour were employed: cross-sectional standard deviation (CSSD) and cross-sectional absolute deviation (CSAD). Data were extracted from the daily closing prices of 346 companies listed on Bursa Malaysia. The study spans from year 2000 to 2019, consisting of pre-crisis, during-crisis and post-crisis, during up- and down-market conditions. The results from CSSD revealed the presence of herding behaviour during the pre-crisis in both extreme up and down-market conditions. In the post-crisis, herding behaviour was observed in extreme up-market conditions. Using CSAD, herding behaviour was prevalent in extreme up-market conditions and post-crisis in extreme down-market conditions. These findings offer additional evidence supporting the existence of herding behaviour during extreme market conditions. Mitigating herding behaviour through enhanced information disclosure and increased investor awareness can improve market quality and reduce volatility.

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Gil-Pareja, Salvador. "Pricing to market behaviour in European car markets." European Economic Review 47, no. 6 (2003): 945–62. http://dx.doi.org/10.1016/s0014-2921(02)00234-9.

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Jensen, Jørgen Dejgaard. "Market power behaviour in the Danish food marketing chain." Journal on Chain and Network Science 9, no. 1 (2009): 43–58. http://dx.doi.org/10.3920/jcns2009.x150.

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The paper presents and demonstrates an econometric approach to analysing food industry firms' market pricing behaviour within the framework of translog cost functions and based on firm-level accounts panel data. The study identifies effects that can be interpreted as firms' market power behaviour in output or input markets. The most robust indications of market power behaviour in output markets are found in the pork and poultry processing sectors, as well as for firms in the bakeries sector. On the other hand, the most robust market power behaviour indications regarding input markets are found for poultry processing. In general, the patterns with regard to market power behaviour seem to be more clearly identified in the processing sectors than in the distribution sectors.

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Mittal, Satish K., and Sonal Jain. "Stock Market Behaviour: Evidences from Indian Market." Vision: The Journal of Business Perspective 13, no. 3 (2009): 19–29. http://dx.doi.org/10.1177/097226290901300302.

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A. Itasanmi, Sunday, and Jegede Tosin E. "Investigation of Market Women’s Environmental Knowledge, Attitude and Behaviour in Nigerian City of Ibadan." International Journal of Education and Literacy Studies 7, no. 4 (2019): 76. http://dx.doi.org/10.7575/aiac.ijels.v.7n.4p.76.

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This study assessed the environmental knowledge, attitude and behaviour among market women in the Nigerian city of Ibadan, Oyo State. A quantitative research design was adopted and 403 market women were randomly selected from different markets in Ibadan. Questionnaire items adapted from Fah and Sirisena (2014) and Abdullahi and Tuna (2014) were pilot-tested among female artisans in Ibadan. Data collected from the study were analyzed using frequency counts, simple percentages, ANOVA, and regression analysis. Results of the analysis revealed that market women have good knowledge about erosion, water pollution, amongst others but lack knowledge in the area of soil degradation. Market women also have pro-environmental attitude based on their responses and they exhibit environmentally responsible behaviours in the area of tree planting, refuse disposal etc. but display irresponsible environmental behaviour by not switching off electricity gadgets when not in use. The findings also showed that there is a significant effect of environmental knowledge on environmental attitude, environmental attitude on environmental behaviour and the joint effects of environmental knowledge and attitude on environmental behaviour among market women.

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Sarkar, Arup Kumar. "Analysis of Individual Investors Behaviour of Stock Market." International Journal of Trend in Scientific Research and Development Volume-1, Issue-5 (2017): 922–31. http://dx.doi.org/10.31142/ijtsrd2394.

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Sanjay, Golluru, and Ghanathe Ramesh. "Study on Investor Buying behaviour on Derivative Market." International Journal of Research Publication and Reviews 5, no. 1 (2024): 2042–47. http://dx.doi.org/10.55248/gengpi.5.0124.0233.

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Chaffai, Mustapha, and Imed Medhioub. "Herding behavior in Islamic GCC stock market: a daily analysis." International Journal of Islamic and Middle Eastern Finance and Management 11, no. 2 (2018): 182–93. http://dx.doi.org/10.1108/imefm-08-2017-0220.

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Purpose This paper aims to examine the presence of herd behaviour in the Islamic Gulf Cooperation Council (GCC) stock markets following the methodology given by Chiang and Zheng (2010). Generalized auto regressive conditional heteroskedasticity (GARCH)-type models and quantile regression analysis are used and applied to daily data ranging from 3 January 2010 to 28 July 2016. Results show evidence of herd behaviour in the GCC stock markets. When the data are divided into down and up market periods, herd information is found to be statistically significant and negative during upward market periods only. These results are similar to those reported in some emerging markets such as China, Japan and Hong Kong, where stock returns perform more similarly during down market periods and differently during rising markets. Design/methodology/approach The authors present a brief literature on herd behaviour. Second, the authors provide some specificity of the GCC Islamic stock market, followed by the presentation of the methodology and the data, results and their interpretation. Findings The authors take into account the difference existing in market conditions and find evidence of herding behaviour during rising markets only for GCC markets. This result was confirmed after using the quantile regression method, as evidence of herding was observed only in highly extreme periods. Stock returns perform more similarly when market is down in Islamic GCC stock market. Research limitations/implications The research limitation consists in the fact that this work can be extended to compare the GCC stock markets with other markets in Asia such as Malaysia and Indonesia. Practical implications The principal implication consists in the fact that herding behaviour is limited in the GCC markets and Islamic finance can have an important contribution to moderate the behaviour in the financial markets. Social implications The work focusses on the role of ethics in the financial markets and their ability to reduce the impact of behavioural biases. Originality/value The paper studies the behaviour of investors in the Islamic financial markets and gives an idea about the importance of the behaviour in this particular market regarding its characteristics.

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Bocharova, Yu H., Yu B. Lyzhnyk, and І. V. Shapovalova. "MICROECONOMIC MODELING OF CONSUMER BEHAVIOUR IN THE FOOD MARKET OF UKRAINE." Visnyk of Donetsk National University of Economics and Trade named after Mykhailo Tugan-Baranovsky, no. 2 (77) (2022): 64–72. http://dx.doi.org/10.33274/2079-4819-2022-77-2-64-72.

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Objective. The objective of the article is to determine the main features of consumer behaviour models in food markets on the basis of domestic and global experience of modeling consumer behavior; to investigate the impact of war on changes in both the psychology of consumer behaviour and changes in the activity of the markets themselves in order to take them into account in the process of modeling consumer behaviour in the future. Methods. The theoretical and methodological basis of the research are the scientific works of foreign and domestic scientists. Dialectical method of learning processes and phenomena (for a general study of the issue of modeling consumer behaviour in the Ukrainian food market); monographic (for analysis and generalization of the theoretical foundations of consumer behaviour modeling); graphic (to display consumer preferences for different categories of goods, peculiarities of purchasing behaviour of Ukrainian consumers during the war and factors influencing consumer choice); index (to assess changes in consumer preferences for different categories of goods); abstract-logical method (for evaluating statistical data and for forming the resulting research conclusions). Results. The components and features of modeling consumer behaviour and the process of making a consumer choice in the food market are considered, the main features that distinguish the food market from other markets are determined. A classification of consumer behaviour modeling types in food markets is proposed. In the subsequent research, it is found out how the consumer goods market of Ukraine changes during the war. The growth of prices for goods in the consumer basket and the restoration and redistribution of logistics supply chains are analyzed. The levels of elasticity of demand for various groups of products are analyzed and it is found that during the war, only 7% of Ukrainian consumers do not limit themselves when buying food products. The main influencing factor on consumer behaviour on the food market in Ukraine is the purchasing power of the population and the level of income of consumers. The study of influencing factors on the consumer's choice of a certain product brand makes it possible to find out that the issues of supporting the army, volunteers, state language and politics take the first places among consumer preferences when choosing a certain product brand. The model of influencing factors on the changing consumer behaviour in the food market of Ukraine during the war is proposed; three main groups of influencing factors that change consumer behaviour in food markets during the war are determined.

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Panayi, Efstathios, Gareth W. Peters, Jon Danielsson, and Jean-Pierre Zigrand. "Designating market maker behaviour in limit order book markets." Econometrics and Statistics 5 (January 2018): 20–44. http://dx.doi.org/10.1016/j.ecosta.2016.10.008.

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Nanda, Dennis Ulfan, and Khusnul Fikriyah. "Perilaku Pedagang Pasar Bandar Kecamatan Mojoroto Kota Kediri Dalam Prespektif Prinsip Dasar Pasar Islami." Jurnal Ilmiah Ekonomi Islam 6, no. 3 (2020): 588. http://dx.doi.org/10.29040/jiei.v6i3.1364.

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Buying and selling activities are one of the community’s needs as facilities and infrastructure of daily needs. Here, the market as one of the tools where there is buying and selling interaction. The marketing environment can change and be uncertain and provide not only opportunities but also threats. The Bandar market is a traditional market that sells the needs for essential materials at an affordable price for the community. The purpose of this research is to determine the behaviour of traders and compliance with the basic principles of Islamic markets. This type of research uses descriptive qualitative research. Data collection techniques using observation, interview, and documentation. The conclusion of this research is the traders’ behaviour in the Bandar market which already tolerable and precise even though the city market is essentially a conventional market, and traders in the Bandar market already apply the principle of Ar-Ridhla, healthy competition, honesty, openness, and justice properly. Keywords : Traditional market, behavior of traders, basic principles of islamic market

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Šrédl, K., and A. Soukup. "Consumer's behaviour on food markets." Agricultural Economics (Zemědělská ekonomika) 57, No. 3 (2011): 140–44. http://dx.doi.org/10.17221/7/2010-agricecon.

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The article is interested in the problems of consumer's behaviour in the food market and namely the determining factors of his (her) behaviour according to the neoclassical theory approaches and its modern modifications, which are compared here with the concepts of other authors. It also is interested in the possibilities of the marginalist analytical apparatus in the consumer's decision-making.

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Rizky Wahidyah, Awalia Gusti, Mahaza, Sri Lestari A, and R. Firwandri Marza. "Factors Influencing The Behaviour Of Traders In Waste Management At Nanggalo Market Padang City 2023." Sustainable Applied Modification Evidence Community 1, no. 2 (2025): 19–30. https://doi.org/10.69855/samec.v1i2.75.

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Waste is solid waste material from human activities at home, schools, shops, public places, markets and so on. One of the markets where there is still a lot of waste in Padang City is the Nanggalo Market in Padang City. Nanggalo Market is one of the traditional markets that sells the daily needs of the community in the market there are still many traders who litter and scatter, for this reason research was conducted at the Nanggalo Market. The purpose of this study was to determine the factors that influence the behaviour of traders in waste management in Nanggalo Market, Padang City in 2023. This research design is quantitative, conducted at Nanggalo Market, Padang City. The research was conducted from December 2022 to June 2023. The population was 408 traders in Nanggalo Market in Padang City with a sample of 80 traders, and the data analysis used was chi-square test statistics. The results showed that there was a significant relationship between knowledge and traders' behaviour in waste management (p<0.024), there was a significant relationship between attitudes and traders' behaviour in waste management (p<0.024), there was a significant relationship between facilities and traders' behaviour (p<0.004), there was a significant relationship between knowledge and traders' behaviour (p0.004), there is a significant relationship between government policy and traders' behaviour (p<0.000), and there is no significant relationship between the role of cleaning staff and traders' behaviour (p>0.182). It can be concluded that there are several factors that are related and some are not related to the behaviour of traders in waste management at Nanggalo Market, Padang City in 2023.

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DINGA, Emil. "BEHAVIOUR AND INFORMATION ON FINANCIAL MARKET." Revista Economica 73, sp (2021): 132–43. http://dx.doi.org/10.56043/reveco-2021-0050.

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Generally, the main three logical models of financial markets (Efficient Market Hypothesis – EMH, Adaptive Market Hypothesis – AMH, and even – partially – Behavioural Market Hypothesis – BMH) take for granted the idea that information drives behaviour, therefore, information is always the channel through the decision is taken, no matter whether such a decision is optimal or sub-optimal. The paper critically examines such an „axiom” and proposes a causally inversion of the relation, that is, it argues that (in the most part), in fact, behaviour drives information, To this end, a new typology of information as well as a new typology of information mixes available to the economic agent are provided and discussed. The research is conducted in a logical key, and the two main findings are: a) the informational-based model of financial market should be replaced by a behaviour-based one; b) the informational efficiency of financial market should be replaced by a behavioural efficiency one. The paper claims its origin and target from institutionalism and evolutionism in the microeconomic academic research.

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Arslan, Syed Ali, Rukhsana Bibi, and Attiya Yasmin Javid. "Article Herding Behaviour: Empirical Analysis of Pakistan, China, USA Stock Market." Journal of Finance and Accounting Research 2, no. 2 (2020): 1. http://dx.doi.org/10.32350/jfar/2020/0202/480.

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The present study investigates market-wide herding of the stock market industry indices of Pakistan, China, and the USA, and cross-border herding of Pakistan stock market with the Chinese stock market and USA stock market. With Cross-Sectional-Absolute-Deviation, this study checks whether geographical distance matters in influencing the stock markets or not and if the USA is it's major influential and cannot be ignored. Market-wide herding in Pakistan is found only during 2004 and 2008, and across border herding for Pakistan is only found from the USA, which supports the asset pricing model and market efficiency hypotheses. Pakistan market does not herd around China- this negates that geographical distance matters and influences in determining investor behavior in stock markets. It is also revealed that the Pakistan stock market does not observe as much herding behavior in stock investment as other markets (such as the USA and China), so it can be said that the Pakistan Stock market is efficiently operating in the context of herding. JEL Classification: G02, G11, G14, G1

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Chi, Wei, Robert Brooks, Emawtee Bissoondoyal-Bheenick, and Xueli Tang. "Classifying Chinese bull and bear markets: indices and individual stocks." Studies in Economics and Finance 33, no. 4 (2016): 509–31. http://dx.doi.org/10.1108/sef-01-2015-0036.

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Purpose This paper aims to investigate Chinese bull and bear markets. The Chinese stock market has experienced a long period of bear cycle from early 2000 until 2006, and then it fluctuated greatly until 2010. However, the cyclical behaviour of stock markets during this period is less well established. This paper aims to answer the question why the Chinese stock market experienced a long duration of bear market and what factors would have impacted this cyclical behaviour. Design/methodology/approach By comparing the intervals of bull and bear markets between stocks and indices based on a Markov switching model, this paper examines whether different industries or A- and B-share markets could lead to different stock market cyclical behaviour and whether firm size can determine the relationship between the firm stock cycles on the market cycles. Findings This paper finds a high degree of overlapping of bear cycles between stocks and indices and a high level of overlapping between the bear market and a fraction of stock with increasing stock prices. This leads to the conclusion that the stock performance and trading behaviour are widely diversified. Furthermore, the paper finds that the same industry may have different overlapping intervals of bull or bear cycles in the Shanghai and Shenzhen stock markets. Firms with different sizes could have different overlapping intervals with bull or bear cycles. Originality/value This paper fills the literature gap by establishing the cyclical behaviour of stock markets.

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Francisco, Silva, Teixeira Brígida, Pinto Tiago, Santos Gabriel, Vale Zita, and Praça Isabel. "Generation of Realistic Scenarios for Multi-Agent Simulation of Electricity Markets." Energy 116, Part 1, no. 1 December 2016 (2016): 128–39. https://doi.org/10.1016/j.energy.2016.09.096.

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Most market operators provide daily data on several market processes, including the results of all market transactions. The use of such data by electricity market simulators is essential for simulations quality, enabling the modelling of market behaviour in a much more realistic and efficient way. RealScen (Realistic Scenarios Generator) is a tool that creates realistic scenarios according to the purpose of the simulation: representing reality as it is, or on a smaller scale but still as representative as possible. This paper presents a novel methodology that enables RealScen to collect real electricity markets information and using it to represent market participants, as well as modelling their characteristics and behaviours. This is done using data analysis combined with artificial intelligence. This paper analyses the way players' characteristics are modelled, particularly in their representation in a smaller scale, simplifying the simulation while maintaining the quality of results. A study is also conducted, comparing real electricity market values with the market results achieved using the generated scenarios. The conducted study shows that the scenarios can fully represent the reality, or approximate it through a reduced number of representative software agents. As a result, the proposed methodology enables RealScen to represent markets behaviour, allowing the study and understanding of the interactions between market entities, and the study of new markets by assuring the realism of simulations.

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Keogh, Geoffrey, and Éamonn D'Arcy. "Market maturity and property market behaviour: A European comparison of mature and emergent markets." Journal of Property Research 11, no. 3 (1994): 215–35. http://dx.doi.org/10.1080/09599919408724118.

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Ju, Xin-Ke. "Herding behaviour of Chinese A- and B-share markets." Journal of Asian Business and Economic Studies 27, no. 1 (2019): 49–65. http://dx.doi.org/10.1108/jabes-03-2019-0022.

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Purpose The purpose of this paper is to examine the evidence of herding phenomenon, spill-over effects related to herding and whether herding is driven by fundamentals or non-fundamentals for various sub-periods and sub-samples. Design/methodology/approach The cross-sectional absolute deviation model is applied to China’s A- and B-share markets in combination with fundamental information. Findings Herding is prevalent on both A- and B-share markets. In detail, investors on A-share market herd for small and growth stock portfolios irrespective of market states while they only herd for large or value stocks in down market, therefore leading the whole herding behaviour to be pronounced in down market. Comparatively, on B-share market, herding is robust for various investment styles (small or large, value or growth) or market situations. Additionally, spill-over effects related to herding do not exist no matter from A-shares to B-shares or from B-shares to A-shares. Moreover, investors on B-share markets tend to herd as the response to non-fundamental information more frequently during financial crisis. Originality/value Investors on A- and B-share markets tend to herd as the response to non-fundamental information more frequently during financial crisis. Analysing the herding behaviours could be helpful in controlling the financial risk.

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Severová, L., and S. Bendl. "Cartels and its behaviour on food markets." Agricultural Economics (Zemědělská ekonomika) 59, No. 2 (2013): 81–89. http://dx.doi.org/10.17221/52/2012-agricecon.

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Collusive oligopoly is an oligopolistic market model with several companies producing the same or similar products (services) and acting in the market as a monopoly. The goal of the paper is to find out whether the collusive oligopolies are created in the food-products market, in what range the cartel agreements appear in the given sector and whether they can notably influence the price level of the food products and therefore have an important impact on consumer demand in the Czech Republic. The result of the analysis is that, although a substantial part of the agro-production arises outside of the oligopolistic structure (in conditions of monopolistic competition among small agricultural producers); the trade with these products is mainly held in oligopolistic sectors.

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Balogh, Jeremiás Máté. "Pricing behaviour of the New World wine exporters." International Journal of Wine Business Research 31, no. 4 (2019): 509–31. http://dx.doi.org/10.1108/ijwbr-09-2018-0050.

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Purpose In recent decades, New World winemakers have increased their wine export to European markets and became considerable market players in the EU. Therefore, this paper aims to explore whether the major New World wine producers are able to exploit its market power at European destination markets. Design/methodology/approach The paper applies the pricing-to-market (PTM) model of trade in respect of asymmetric effect of exchange rate changes by using monthly bilateral wine data between January 2000 and December 2016. Findings First, there is evidence of PTM in three New World wine exporters, namely, Chile, South Africa and the USA. Chile was able to apply price discrimination across Danish, German, Dutch and the British wine markets. Second, South Africa set their prices in Belgian, Dutch and Swedish markets, while the USA discriminated their wine prices in Denmark and Sweden. In contrast, this advantage was not observable in the case of Argentina and Australia. Third, the local-currency price stability was explored in Chilean wine import prices (exported to Belgium, the Czech Republic), South African wine prices (exported to France, Denmark, Germany), in US wine prices (sold in Germany and the UK). Furthermore, the analysis of the asymmetric effects of exchange rate changes suggests that depreciation of the exporter’s currency relative to the Euro had not a significant impact on EU wine import prices. On the whole, the estimated pricing to market model indicates that a non-competitive pricing behaviour of New World exporters was limited and was rather due to the market-specific characteristics. Research limitations/implications The research provides multiple advice for New World wine producers. First, in general, European consumers do not pay an extra price for the New World bottled wines. Second, only Chilean, South African and North American wine exporters can expect higher prices for its wines from European buyers only. Moreover, European wine markets are fairly competitive where New World wine exporters do not have significant market dominance. Therefore, New World wine exporters should strengthen its wine marketing and branding strategy to gain higher market share in Europe and to attract attention to its wines. Finally, exchange rates relative to Euro should be continuously monitored by the New World wine exporters because it might deviate the wine export prices significantly. Originality/value The study applies the pricing-to-market model to major New World wine exporters on the European Union’s destination market. The paper also makes valuable contributions to the wine literature by testing the asymmetric effects of exchange rate changes on wine import prices. It analyses the nature of price discrimination, whether it is market-specific or exchange rate influenced, or both.

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Deshmukh, V. S., Dr N. V. Shende, and Dr S. C. Nagpure. "Price behaviour of Tomato in Major Markets of Nagpur District." International Journal of Environment, Agriculture and Biotechnology 9, no. 5 (2024): 188–94. http://dx.doi.org/10.22161/ijeab.95.21.

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This research undertakes a comprehensive analysis of trends, variability, and seasonal fluctuations in arrivals and prices as well as the interrelationship between arrivals and prices of selected vegetable in kalamna, kalmeshwar and kamthi Markets of Nagpur District, Maharashtra for the year (2014-2023) by utilizing secondary data sourced from the website (www.agmarknet.nic.in).An analysis of market arrivals and prices of Tomato reveals a positive trend in arrivals and prices across all the three Nagpur District markets, Although statistical significance was only observed in two markets excluding kalamna market. Highest variability in Tomato arrivals i.e 82.04 was recorded in kamthi APMC, Nagpur while Pt. Jawaharlal Nehru Market Yard, Kalamna, Nagpur saw the highest price variability i.e 86.30. In contrast lowest variability in Tomato arrival i.e 62.84 was recorded in Pt. Jawaharlal Nehru Market Yard ,Kalamna, Nagpur and lowest price variability i.e 80.20 was observed in kamthi APMC, Nagpur. Highest seasonal indices for Tomato arrivals and prices observed in December and October at Pt. Jawaharlal Nehru Market Yard, kalamna, Nagpur. March and July at kalmeshwar APMC, Nagpur and December and July at kamthi APMC, Nagpur. A statistically significant negative correlation was observed between arrivals and prices of Tomato in the Nagpur markets except for kalmeshwar market which shows positive correlation.

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Šrédl, K. "Behaviour of subjects in risk markets." Agricultural Economics (Zemědělská ekonomika) 56, No. 5 (2010): 224–30. http://dx.doi.org/10.17221/67/2009-agricecon.

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Consumer's behaviour is described mostly by the neoclassical theory in the framework of cardinalistic and ordinalistic models which involve the methodological individualism, the concept of rationalism, the equilibrium and the perfect information of consumer. Consumer in the financial actives market decides in a similar way. Consumer can make decisions also uder the condition of risk and uncertainty.

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Siow, Aloysius, Louis N. Christofides, E. Kenneth Grant, and Robert Swidinsky. "Aspects of Labour Market Behaviour." Canadian Journal of Economics 29, no. 3 (1996): 754. http://dx.doi.org/10.2307/136264.

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Sharma, Aditya, Arya Kumar, and Arun Kumar Vaish. "Market anomalies and investor behaviour." Afro-Asian J. of Finance and Accounting 12, no. 1 (2022): 62. http://dx.doi.org/10.1504/aajfa.2022.121768.

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Burns, Penny. "Market structure and buyer behaviour." Journal of Economic Behavior & Organization 6, no. 3 (1985): 275–300. http://dx.doi.org/10.1016/0167-2681(85)90036-8.

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Chanel, Olivier. "Is art market behaviour predictable?" European Economic Review 39, no. 3-4 (1995): 519–27. http://dx.doi.org/10.1016/0014-2921(94)00058-8.

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Amihud, Yakov, and Haim Medenelson. "Inventory behaviour and market power." International Journal of Industrial Organization 7, no. 2 (1989): 269–80. http://dx.doi.org/10.1016/0167-7187(89)90023-4.

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Prof., Harsha R. "INVESTOR SENTIMENTS AND MARKET BEHAVIOUR." International Journal of Interdisciplinary Research in Arts and Humanities (IJIRAH) 7, no. 2 (2022): 9–12. https://doi.org/10.5281/zenodo.7079976.

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In the recent trends it is important to understand the importance of stock market as a source of investment. It is noted in the research study that most of the youngsters are interested to have the knowledge of stock market. As mentioned in the title investment sentiments refers to the attitude of the investors as to the anticipated price development in the market. Whereas market behavior means the increase or decrease in the stock prices. It is nothing but understanding why there will be sharp fall or rise in the prices of the stocks. It is the understanding of the various factors that affect the stock prices like technical factors, fundamental factors etc. the fundamental factors include trading the news, financial reports, seasonal factors, natural and world events, price history etc. This research study helps us in identifying the factors that make the investors to invest in the stock market and commodity derivatives, to identify the stock market and commodity market  awareness among the retailers and also to identify the factors that change the market behavior. Stock market is such a fascinating subject that attracts each and every individual towards making an investment as it helps in making more profit. Trading in stock market is not that easy as it need some analysis before making the trade set up. It is very important that investors collect more information about the stock market before making an investment because stock market trading not only increases the profit but also increases the losses. Therefore the ultimate investing decision is very important for an investor to make profit.

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Bruce, Alistair C., and Johnnie E. V. Johnson. "Market ecology and decision behaviour in state-contingent claims markets." Journal of Economic Behavior & Organization 56, no. 2 (2005): 199–217. http://dx.doi.org/10.1016/j.jebo.2003.09.009.

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Tashfeen, Rubeena, Saad Ullah, and Abubaker Naeem. "Investor Behavior: Does Tax Avoidance and Liquidity Preference Culture Drive Equity Prices in Pakistan." Journal of Finance and Accounting Research 2, no. 2 (2020): 63–91. http://dx.doi.org/10.32350/jfar/2020/0202/852.

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The present study investigates market-wide herding of stock market, industry indices of Pakistan, China and USA, A-cross border herding of Pakistan stock market with Chinese stock market and USA stock market. With Cross-Sectional-Absolute-Deviation, to check whether geographical distance matters to influence the stock markets or not and USA is its major influential, cannot be ignored. Market-wide herding in Pakistan is found only during 2004 and 2008 and A-cross border herding for Pakistan is only found from the USA which support asset pricing model and market efficiency. Pakistan market do not herd around China, this negates geographical distance matters, and influence in determining investor behaviour in stock markets. It is revealed, Pakistan stock market does not observe as much herding behaviour in stock investment as other markets (USA and China), so it can be said that Pakistan stock exchange index which is representative of Pakistan Stock market is efficiently operating in contest of Herding.

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Sreedevi, R., and K. P. Sivakumar. "Buying Behaviour of Rural Consumers Towards Fast Moving Consumers Goods." ComFin Research 10, no. 1 (2022): 17–27. http://dx.doi.org/10.34293/commerce.v10i1.4566.

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Consumption of goods is the sole purpose of every kind of production, and that’s why manufacturers manufacture and promote their commodities to meet the consumer wants and needs. The structure of the Indian market is divided and has different markets like Rural and Urban markets. There are unique techniques of advertising and marketing that can be established to fit into the rural and urban market behaviours. This is because the rural shoppers vary in phrases of their Purchase Choices, Consumption Style, Purchase Activities, and also the Opinions towards goods. The central focus of the study is to investigate the behaviour of the rural consumers towards Fast Moving Consumer Goods (FMCG’s). In the current scenario; the rural markets are receiving much attention with the urban market diffusion. This is mainly attributed to the improvement in the economic conditions of the rural people. With the uplift of their standard of living, rural people in India are looking forward to adapting to the urban lifestyle. This change in behaviour is mainly reflected in their purchasing limit and capacity. Hence, rural markets remain to provide potential growth opportunities for the organised FMCG companies, both assorted quality of products and services in the affordable process.

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Asante Gyamerah, Samuel. "COVID-19 PANDEMIC AND HERDING BEHAVIOUR IN CRYPTOCURRENCY MARKET." Applied Finance Letters 10 (August 8, 2021): 58–66. http://dx.doi.org/10.24135/afl.v10i.443.

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In this paper, we examine the presence of herding in cryptocurrency market for four distinct sub-periods (Pre and During COVID-19 period, bear and bull markets) using daily closing prices of 5 largest cryptocurrencies by market capitalization (Bitcoin, Ethereum, XRP, Stellar and Tether) from April 20, 2019 to January 31, 2021. The study employs cross-sectional absolute deviations (CSAD) model to test herd behavior and the results of the study provide evidence of herd behavior in the whole market for the selected period under study. The study also proofs the presence of herding during COVID-19 period and in positive market returns. These indicate that, investors in the cryptocurrency market, during COVID-19 periods, and in bullish market are inclined to the investment behavior of other peer investors in the market. The study is significant to investors, regulators and players in the cryptocurrency market so as to deepen their understanding of herding behavior since herding is thought to increase the volatility of the market.  The study is significant to investors, regulators and players in the cryptocurrency market so as to deepen their understanding of herding behavior since herding is thought to increase the volatility of the market.

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Koltan, Nadežda Doronina, Stasys Girdzijauskas, and Dalia Štreimikienė. "MARKET CAPACITY AND CONSUMER BEHAVIOUR FROM LOGISTIC ANALYSIS VIEW." Technological and Economic Development of Economy 19, no. 3 (2013): 448–64. http://dx.doi.org/10.3846/20294913.2013.823134.

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The paper deals with market capacity and the integral parts of it. One of the most critical consisting parts of the market's capacity are market niches, the fulfilment of which depends on market openness or closeness. In the opened market there is a possibility of reproduction, while for the closed market the saturation is more typical. However, reproduction and saturation have one similar feature: both influence the beginning of a crisis. The main difference between reproduction and saturation is in reproduction's possibility to create a new market niches driven by globalization, innovation and the growth of the living standards of population. A creation of the new market niche in case of saturation is not possible because of the consumers’ expectations. The return on investments in the closed market is growing exactly at the moment when the market niche approaches zero. At the same time people tend to invest into this market with a hope to get the highest profits. This finally leads to the bubble formation. The paper aims to define the main factors influencing markets’ niches saturation and seeks to apply logistical capital theory for assessment of market saturation level for the prediction of forthcoming economic crisis.

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Mertzanis, Charilaos, and Noha Allam. "Political Instability and Herding Behaviour: Evidence from Egypt’s Stock Market." Journal of Emerging Market Finance 17, no. 1 (2018): 29–59. http://dx.doi.org/10.1177/0972652717748087.

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This article examines the existence of herding behaviour in the Egyptian stock market during the 2011 revolution period. Using daily and monthly data, we test for the existence of herding for the whole period, as well as for the pre- and post-revolution phases. For the whole period, our results fail to provide evidence of herding behaviour in the Egyptian stock market, but do provide evidence of adverse herding behaviour that exhibits non-linearity. The results also fail to provide evidence of herding behaviour during bull and bear markets, and show that herding behaviour is a short-lived phenomenon. When the pre- and post-revolution phases are considered separately, the results provide evidence of weak adverse herding for both phases and of adverse herding in bullish markets, but they are inconclusive regarding bearish markets. JEL Classification: G10, G15

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Boone, Laurence, and Nathalie Girouard. "The Stock Market, the Housing Market and Consumer Behaviour." OECD Economic Studies 2002, no. 2 (2003): 175–200. http://dx.doi.org/10.1787/eco_studies-v2002-art12-en.

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LeRoy, Stephen F. "Market Efficiency: Stock Market Behaviour in Theory and Practice." Review of Financial Studies 11, no. 3 (1998): 675–78. http://dx.doi.org/10.1093/rfs/11.3.675.

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Alexakis, Panayotis, and Panayotis Petrakis. "Analysing stock market behaviour in a small capital market." Journal of Banking & Finance 15, no. 3 (1991): 471–83. http://dx.doi.org/10.1016/0378-4266(91)90081-v.

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Hu, Bowen. "AI-Driven Agent-Based Modeling of Investor Behavior: Leveraging Reinforcement Learning and Neural Networks to Simulate Irrationality in Financial Markets." Applied and Computational Engineering 138, no. 1 (2025): 42–47. https://doi.org/10.54254/2755-2721/2025.21183.

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The paper presents how ABM, RL and NNs are combined to simulate the behaviour of investors in financial markets. ABM is an adaptable approach to modeling highly complex financial systems in which agents (investors) act and change on incomplete or distorted data. Reinforcement Learning optimizes agent behaviour through learning from their mistakes and making changes over time Neural Networks optimise the model by finding non-linearity in the market data to enhance the models predictive ability. The research in this paper examines how misguided investor decisions, such as overconfidence and herd behavior, cause market crashes, bubbles and crashes, even when agents have taken some lessons from their experiences. The results show that ABM, RL and NNs work together in way that provide valuable insights into the nature of financial markets, and reveal the promise and limitations of applying AI to predict complex and unpredictable markets. These results indicate that although Neural Networks predict more accurately when markets are stable, they are poorly effective when market is unstable with very high irrationality. These insights may be used to improve the regulation and policymaking of markets in practice.

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Waitz, Martin, and Andreas Mild. "Comparing trading behaviour and profit composition in prediction markets." Journal of Prediction Markets 14, no. 2 (2020): 3–26. http://dx.doi.org/10.5750/jpm.v14i2.1561.

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Prediction markets have established itself as forecasting technique, especially within the IT industry. While the majority of existing studies focuses either on the output of such markets or its design settings, the traders who actually produce the forecasts got only little attention yet. Within this work, we develop a classification scheme for traders of a prediction market that is grounded on both, financial and prediction market literature. Over a period of three years, 127 prediction markets have been observed and its 4.329 traders are separated into seven subgroups (beginners, noise traders, average traders, experts, donkey traders, market makers and superior traders), based on their knowledge, experience and selectivity. We find empirical evidence for the existence of these subgroups and thus for the heterogeneity among the traders. For each of these subgroups, we analyze the trading behaviour and the profit composition.

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Verma, Vinod Kumar, Pradeep Kumar, and R. C. Kumawat. "Market Behaviour, Arrivals, and Price Behaviour of Cumin in Mandor Market of Jodhpur District, Rajasthan." Indian Journal of Marketing 44, no. 2 (2014): 43. http://dx.doi.org/10.17010/ijom/2014/v44/i2/80450.

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Stankevičienė, Jelena, and Natalija Gembickaja. "MARKET BEHAVIOUR: CASE STUDIES OF NASDAQ OMX BALTIC." Business, Management and Education 10, no. 1 (2012): 110–27. http://dx.doi.org/10.3846/bme.2012.09.

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The paper examines market behaviour, defines the concept of behavioural finance and exhaustively analyzes the varying behaviour of market participants and occurring examples. The article deals with the issues of possible anomalies describing their main features. The conducted research is aimed at investigating two anomalies in the Baltic Stock Exchanges, including branches in Tallinn, Riga and Vilnius. The publication selects specific stocks listed in the equity market and analyzes their features. The obtained results are compared to discuss differences and characteristics of the markets. The paper also presents an original examination of the practical aspects of momentum and contrarian anomalies, underlies recommendations and helps financial market participants with a better understanding of the influence of anomalies from an economic perspective and with improving their competitiveness thus helping them to make appropriate decisions.

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Magesh Kumar, C., K. Sujatha, and K. Rajesh Kumar. "Financial Behaviours of Stock Market Investors." Shanlax International Journal of Management 12, no. 3 (2025): 25–30. https://doi.org/10.34293/management.v12i3.8213.

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Behavioural Finance research has received significant attention in recent years, and now it plays a vital role in determining the behaviour of investors when investing in the stock market. Financial Behaviour refers to the psychological factors that influence the investing decisions of investors in the stock market. This article attempts to review several prior and current studies done on this research area based on the Heuristics, Prospect, Market, and Herding theories, which classify many behavioural factors. As an outcome, this will provide a comprehensive literature on the financial behaviours of stock market investors, which will assist investors in their investment decision-making as well as academicians, professionals, and researchers in their research.

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Mortezaee, Mojtaba, Davoud Sanji, and Majid Govahi. "BEHAVIORAL FINANCE- EVIDENCE FROM TEHRAN STOCK EXCHANGE." International Journal of Research -GRANTHAALAYAH 4, no. 12 (2016): 79–84. http://dx.doi.org/10.29121/granthaalayah.v4.i12.2016.2395.

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A capital market is a vast and controversial issue in financial matters and especially behavioural finance. Indeed, behavioural finance is aim to survived the influence of the psychological variables on financial markets transformation. It should be noted that financial investors may have different level of rational behaviour, which leads to different kinds of effects, which can elaborate market inconsistency. Classical finance assumes the investors as rational peoples who try to select the most lucrative and efficient portfolio considering expected financial risk. Behavioural finance model mainly focus on psychological parameters. Tehran Stock Exchange (TSE) is affected by many financial and economic variables. Investor in this financial market is affected by different data. Present study is aim to examine psychological variables beside political, economic and capital market features factors. Research data collects in 2015 and analysis by LISREL software. The results reveal that political, economic and psychological parameters respectively are the most important variables which affect the investor decision making behaviour. The internal financial reports and market return are less effective factor in their financial decision behavior.

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Mojtaba, Mortezaee, Sanji Davoud, and Govahi Majid. "BEHAVIORAL FINANCE- EVIDENCE FROM TEHRAN STOCK EXCHANGE." International Journal of Research -GRANTHAALAYAH 4, no. 12 (2016): 79–84. https://doi.org/10.5281/zenodo.222461.

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A capital market is a vast and controversial issue in financial matters and especially behavioural finance. Indeed, behavioural finance is aim to survived the influence of the psychological variables on financial markets transformation. It should be noted that financial investors may have different level of rational behaviour, which leads to different kinds of effects, which can elaborate market inconsistency. Classical finance assumes the investors as rational peoples who try to select the most lucrative and efficient portfolio considering expected financial risk. Behavioural finance model mainly focus on psychological parameters. Tehran Stock Exchange (TSE) is affected by many financial and economic variables. Investor in this financial market is affected by different data. Present study is aim to examine psychological variables beside political, economic and capital market features factors. Research data collects in 2015 and analysis by LISREL software. The results reveal that political, economic and psychological parameters respectively are the most important variables which affect the investor decision making behaviour. The internal financial reports and market return are less effective factor in their financial decision behavior.

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47

McNeil, D. L., and M. K. Felgate. "Analysis of UK walnut market import purchase behaviour." British Food Journal 116, no. 3 (2014): 405–18. http://dx.doi.org/10.1108/bfj-03-2012-0071.

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Purpose – This paper aims to use readily available data to validate several predictions on UK walnut import and consumer use behaviours. It then seeks to hypothesise how this information can be used to determine whether and how additional value can be created in the chain. Design/methodology/approach – The chain used was that from sourcing to retail sale of walnuts in the UK. The data used were: UK import price/quantity/origin and total consumption data, global comparisons for import price/quantity/origin and total consumption data. Findings – This paper validates predictions for walnut quality, market size and pricing from a simple model for the UK walnut market. The UK walnut market is small (0.26 g/capita/day) but expanding per capita (8 per cent pa). Import prices are low (15-25 per cent below several other major EU importers) but rising in real terms (7 per cent pa). The UK generally sources walnuts opportunistically from low cost low “international standard” quality suppliers. These findings are consistent with model predictions of market behaviour and previous findings on walnut quality. Practical implications – There may be an opportunity to improve quality specifications for the UK walnut market &/or to expand the UK market into higher quality uses. Both options require educating the UK consumer market in the additional consumer value created. Originality/value – The study indicates the extent of price seeking purchasing behaviour within global markets for an agricultural product (walnuts). It shows this is not a globally consistent market response and thus offers opportunities for all participants in the UK walnut retail value chain to provide enhanced consumer value.

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S, Sreejith, and Sruthy Madhavan. "COVID 19 AND HERDING BEHAVIOUR: EVIDENCE FROM INDIAN METAL COMMODITY DERIVATIVE MARKET." Journal of Management and Entrepreneurship 16, no. 04 (2022): 13–20. https://doi.org/10.70906/20221604013020.

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The commodity market is gaining the attention of the investor community due to its diversification and hedging properties, and commodity derivatives constitute a major portion of the total products traded in the Asian market. The present study looks into the herding in the metal commodity sector during COVID-19 using the daily closing prices of seven metal commodity derivative markets from January 2020 to December 2020. Quantile regression is used to test the standard herding equation at different quantiles, representing normal and extreme market movement. It was found that there is a presence of herding under normal market conditions, during COVID-19. Herding is absent during extreme market movement in both bull and bear markets. It was concluded that investors tend to mimic other investors during the uncertainty periods, but the investor sentiments are less during extreme market movement. The study also shed light on the hedging and safehaven properties of the metals, especially precious metals like gold, which help investors make rational decisions in extreme market conditions. The study has implications for policymakers and investors

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Severová, L., L. Kopecká, R. Svoboda, and J. Brčák. "Oligopoly competition on market with food products." Agricultural Economics (Zemědělská ekonomika) 57, No. 12 (2011): 580–88. http://dx.doi.org/10.17221/107/2010-agricecon.

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Oligopoly can be defined as a market model of the imperfect competition type, assuming the existence of only a few companies in a sector or industry, from which at least some have a significant market share and can therefore influence the production prices in the market. Many models of oligopoly that differ from one another mostly in the nature of the competitive companies&rsquo; behaviour can be found through the study of oligopolistic structures. Some models describe only the behaviour of two companies in the monitored market (duopoly), others describe several companies of the same power (cartel), still others assume that one of the companies has a dominant position in the market, etc. The text of this article deals with oligopolistic competition in the food market in the terms of the behaviour of grocers and with the impact of this competition upon the market competition in the sector. First, it mentions the agreements on common cooperation and procedure, when cartel market structure originates. It also analyzes the examples of behaviour of oligopoly with a dominant firm on the market with products in the food sector, with the goal of detecting whether the market with these products is significantly influenced by the oligopolistic behaviour of companies. &nbsp;

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Kok, Robert A. W., Bas Hillebrand, and Wim G. Biemans. "What Makes Product Development Market Oriented? Towards a Conceptual Framework." International Journal of Innovation Management 07, no. 02 (2003): 137–62. http://dx.doi.org/10.1142/s1363919603000763.

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While there is quite some literature on the relationship between market orientation and product development, it is still unclear what market-oriented product development really is. In this article the authors present a conceptual framework detailing the elements of market-oriented product development and the relationships between these elements. More specifically, market-oriented product development is conceptualised as a combination of specific capabilities and market information processing activities. These capabilities encapsulate the values and norms, knowledge and skills, technical and managerial knowledge systems, which enable learning about markets through information processing behaviour in product development and improve this market learning behaviour. As such it is argued that market-oriented product development may be regarded as an organisational learning capability.

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Journal articles on the topic 'Market behaviour'

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