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1

Cao, Xingxing, Jing Wang, and Zhi Yang. "Analysis of the Behavior of Insider Traders Who Disclose Information to External Traders." International Journal of Financial Studies 13, no. 2 (2025): 112. https://doi.org/10.3390/ijfs13020112.

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This paper establishes an insider trading model under market supervision, which includes four types of trading entities: an insider trader, n external traders, noise traders, and market makers. The insider trader voluntarily discloses information to the external traders during the trading process. The research findings are as follows: (1) strengthening market supervision can significantly reduce the insider’s expected profit and increase the external traders’ expected profits; (2) the optimal market supervision strategy is closely related to the number of external traders; (3) the insider trad
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2

Jackson, David. "Inferring trader behavior from transaction data: A trade count model." Journal of Economics and Finance 31, no. 3 (2007): 283–301. http://dx.doi.org/10.1007/bf02885720.

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3

Amine Souissi, Mohamed, Khalid Bensaid, and Rachid Ellaia. "Multi-agent modeling and simulation of a stock market." Investment Management and Financial Innovations 15, no. 4 (2018): 123–34. http://dx.doi.org/10.21511/imfi.15(4).2018.10.

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The stock market represents complex systems where multiple agents interact. The complexity of the environment in the financial markets in general has encouraged the use of modeling by multi-agent platforms and particularly in the case of the stock market.In this paper, an agent-based simulation model is proposed to study the behavior of the volume of market transactions. The model is based on the case of a single asset and three types of investor agents. Each investor can be a zero intelligent trader, fundamentalist trader or traders using historical information in the decision making process.
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Maeda, Iwao, David deGraw, Michiharu Kitano, et al. "Latent Segmentation of Stock Trading Strategies Using Multi-Modal Imitation Learning." Journal of Risk and Financial Management 13, no. 11 (2020): 250. http://dx.doi.org/10.3390/jrfm13110250.

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While exchanges and regulators are able to observe and analyze the individual behavior of financial market participants through access to labeled data, this information is not accessible by other market participants nor by the general public. A key question, then, is whether it is possible to model individual market participants’ behaviors through observation of publicly available unlabeled market data alone. Several methods have been suggested in the literature using classification methods based on summary trading statistics, as well as using inverse reinforcement learning methods to infer th
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Sartono, R. Agus. "TRADING BEHAVIOR AND ASSET PRICING UNDER HETEROGENEOUS EXPECTATIONS." Gadjah Mada International Journal of Business 7, no. 1 (2005): 15. http://dx.doi.org/10.22146/gamaijb.5567.

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This research models trading behavior and examines the impact of heterogeneous expectations on asset prices. We extend Kyle’s (1985) one-period model to two-period model. The model shows that the informed trader takes into account not only the private information but also the pricing function. The price is an increasing function of the volatility of the asset value and decreasing in the volatility of uninformed traders’ demand. The costly information acquisition has an impact on the optimum demand but it has no direct impact on the price.We find the market depth is a linear function of the vol
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ALVAREZ-RAMIREZ, JOSE, CARLOS IBARRA-VALDEZ, and GUILLERMO FERNANDEZ-ANAYA. "COMPLEX DYNAMICS IN A SIMPLE STOCK MARKET MODEL." International Journal of Bifurcation and Chaos 12, no. 07 (2002): 1565–77. http://dx.doi.org/10.1142/s021812740200539x.

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A deterministic model is introduced in terms of conservation principles to describe the (qualitative) price dynamics of a stock market. It is shown how the fundamentalist and chartist patterns of the trader behavior affect the price dynamics. The model can display complex oscillatory behavior with transient erratic oscillations, which resembles the behavior found in actual price dynamics. By means of numerical simulations, it is shown that the model can produce price time-series with statistics similar to that found in real financial data.
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Ugulumu, Ester, Maguja Nestory, and Oscar Mpasa. "Factors Affecting Night Market Traders’ Performance in Tanzania: A Case of Forodhani Night Market in Unguja." RPJ: Rural Planning Journal 25, no. 1 (2023): 59–69. http://dx.doi.org/10.59557/wm4dz957.

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This study assessed the factors affecting the night market traders’ sales performance. The factors examined were the age, sex, marital status, trade experience, startup capital, number of employees, business type, and years of schooling of a night market trader. The study employed a cross-sectional research design whereby structured and semi-structured interviews were used for data collection. Probability and non-probability sampling techniques were employed to select a sample of 98 night market traders. Data were analysed by using a multiple linear regression model. The findings revealed that
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8

Foster, Andrew, and Natasha Kirby. "Analysis of a Heterogeneous Trader Model for Asset Price Dynamics." Discrete Dynamics in Nature and Society 2011 (2011): 1–12. http://dx.doi.org/10.1155/2011/309572.

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We examine an asset pricing model of Westerhoff (2005). The model incorporates heterogeneous beliefs among traders, specifically fundamentalists and trend-chasing chartists. The form of the model is shown here to be a nonlinear planar map. Since it contains a single parameter, the model may be considered the simplest effective model yet derived for financial asset pricing with heterogeneous trading. Analysis of the map yields results for stability and bifurcations of fixed points and periodic orbits. The model has intricate attractor basin behavior and global bifurcations to chaos: symmetric h
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CHEN, YILING, CHAO-HSIEN CHU, and TRACY MULLEN. "PREDICTING UNCERTAIN OUTCOMES USING INFORMATION MARKETS: TRADER BEHAVIOR AND INFORMATION AGGREGATION." New Mathematics and Natural Computation 02, no. 03 (2006): 281–97. http://dx.doi.org/10.1142/s179300570600052x.

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Forecasting seems to be a ubiquitous endeavor in human societies. In this paper, information markets are introduced as a promising mechanism for predicting uncertain outcomes. Information markets are markets that are specially designed for aggregating information and making predictions on future events. A generic model of information markets is proposed. We derive some fundamental properties on when information markets can converge to the direct communications equilibrium, which aggregates all information across traders and is the best possible prediction for the event under consideration. Inf
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10

Hidajat, Taofik, Muliawan Hamdani, Ratna Komala Putri, and Abian Mirza Ramadhan. "Behavioral Biases and Trust in Social Trading: A Mixed-Method Approach." Jurnal Manajemen Indonesia 24, no. 2 (2024): 214–26. https://doi.org/10.25124/jmi.v24i2.7547.

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This research was conducted to extend the study of social trading using the behavioral finance perspective, the role of trust and a mixed-method approach from followers on social trading platforms. This research uses a mixed-method approach. In the first stage, semi-structured interviews were conducted with 11 follower traders by snowball sampling to find out the factors that influence traders' investment and trading behavior through social trading platforms. The second stage will quantitatively test the model using SmartPLS with 342 follower traders. Respondents in the second stage are follow
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Andani, Apri, Nusril, and Hebbi Wardoyo. "Investigating the Market’s Behavior of Curly Red Chili in Bengkulu Indonesia Using Price Formation and Transmission Elasticity Model." International Journal on Advanced Science, Engineering and Information Technology 14, no. 2 (2024): 683–90. http://dx.doi.org/10.18517/ijaseit.14.2.7187.

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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 pric
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12

Fertaľová, Jana, and Pavol Varga. "Application of the Huff’s probability model on selected large-area retail units in Košice in the context of transformational changes in retail after 1989 in Slovakia." Journal for Geography 2, no. 2 (2007): 63–72. http://dx.doi.org/10.18690/rg.2.2.2911.

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After 1989 there have been rather significant qualitative and spatial changes in retail trade network in Slovakia. The behaviour of trader as well as consumer is changing. Supranational trade networks with their large hypermarkets are penetrating our trade. In last four years the share of hypermarket shopping in Slovakia has increased more than twice, and the share of small shops and counter shops is decreasing despite the fact that they keep the highest average annual shopping frequention. Hypermarkets continuously make a profit of new customers.
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Pincak, Richard, and Kabin Kanjamapornkul. "GARCH(1,1) Model of the Financial Market with the Minkowski Metric." Zeitschrift für Naturforschung A 73, no. 8 (2018): 669–84. http://dx.doi.org/10.1515/zna-2018-0199.

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AbstractWe solve a stylised fact on a long memory process of the volatility cluster phenomena by using the Minkowski metric for GARCH(1,1) (generalised autoregressive conditional heteroskedasticity) under the assumption that price and time cannot be separated. We provide a Yang-Mills equation in financial market and an anomaly on superspace of time series data as a consequence of the proof from the general relativity theory. We use an original idea in the Minkowski spacetime embedded in Kolmogorov space in time series data with the behaviour of traders. The result of this work is equivalent to
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14

KIRBY, NATASHA, and ANDREW FOSTER. "EFFECTS OF CONTRARIAN INVESTOR TYPE IN ASSET PRICE DYNAMICS." International Journal of Bifurcation and Chaos 19, no. 08 (2009): 2463–72. http://dx.doi.org/10.1142/s0218127409024244.

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We develop an asset pricing model based on the interaction of heterogeneous trading groups. In addition to the two main trader groups, fundamentalists and trend-chasing chartists, we include a third significant group known as contrarian chartists. We model the case of opportunistic contrarian behavior, where the contrarian group disagrees with the trend-chasing chartists only when the return differential is high. We also consider absolute contrarian behavior, in which the contrarians consistently disagree with trend-chasers. The models are nonlinear planar maps, exhibiting period doubling, Nei
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15

Iwamura, Takuya, and Yoshiyasu Takefuji. "An artificial market based on agents with fluid attitude toward risks and returns." Advances in Complex Systems 03, no. 01n04 (2000): 385–97. http://dx.doi.org/10.1142/s0219525900000273.

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The behaviour of traders in a stock market is influenced by their attitude toward the risk of the security. In this research the internal model of the risk-averse and the risk-loving trader is proposed in the context of the artificial market. This model is based on the ideas of the expected utility hypothesis. It is important to model the difference in subjective value of the same stock because this difference enables market activities. The feature of the proposed model is that this model realizes the dynamic aspect of trader's preference in the risk and the return.
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16

ZHANG, WEI, GEN LI, XIONG XIONG, and YONG JIE ZHANG. "TRADER SPECIES WITH DIFFERENT DECISION STRATEGIES AND PRICE DYNAMICS IN FINANCIAL MARKETS: AN AGENT-BASED MODELING PERSPECTIVE." International Journal of Information Technology & Decision Making 09, no. 02 (2010): 327–44. http://dx.doi.org/10.1142/s0219622010003841.

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Investors with different trading strategies can be viewed as different "species" in financial markets. Since the asset price is ultimately determined by the individual trading decisions, the combination and evolution of different trader species in financial market ecology will have great impact to the price dynamics. Considering the limitations and shortcomings of traditional analytical approaches in financial economics in dealing with this issue, an agent-based computational model is introduced in this paper. With the co-existence of 3-type trader species that make different decisions based o
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17

Šperka, Roman, and Marek Spišák. "TRANSACTION COSTS INFLUENCE ON THE STABILITY OF FINANCIAL MARKET: AGENT-BASED SIMULATION." Journal of Business Economics and Management 14, Supplement_1 (2013): S1—S12. http://dx.doi.org/10.3846/16111699.2012.701227.

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We implement an agent-based simulation of financial market model. Agent-based simulations are used nowadays as an alternative to the traditional models, based on predetermined equilibrium state theory. Agent technology brings some kind of local intelligence and rational expectations to the decision support system of financial market participants. Agents follow technical and fundamental trading rules to determine their speculative investment positions. We consider direct interactions between speculators and they may decide to change their trading behaviour. If a technical trader meets a fundame
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18

Shive, Sophie. "An Epidemic Model of Investor Behavior." Journal of Financial and Quantitative Analysis 45, no. 1 (2009): 169–98. http://dx.doi.org/10.1017/s0022109009990470.

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AbstractI test whether social influence affects individual investors’ trading and stock returns. In each of the 20 most active stocks in Finland over 9 years, the number of owners in a municipality multiplied by the number of investors who do not own a stock, a measure of the rate of transmission of diseases and rumors through social contact, predicts individual investor trading. I control for known determinants of trade, including daily news, and show that competing explanations for the relation are unlikely. Socially motivated trades predict stock returns, and the effects are not reversed, s
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19

Mingxia, Wei, and Zheng Shuang. "Study on the E-commerce Trust Based on Evolutionary Game Mechanism." Journal on Innovation and Sustainability. RISUS ISSN 2179-3565 3, no. 1 (2012): 61. http://dx.doi.org/10.24212/2179-3565.2012v3i1p61-73.

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The evolutionary game model of E-commerce trust is established according to the behavior choice character of the online trader and supervisor. The replicator dynamic principle t is put forward and corresponding evolutionary differential equation is established; we put forward the conception of the evolution balance, requiring the evolutionary balance of the differential equation and condition and make an annotation of the evolutionary game mechanism of E-commerce trust.
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20

Pincak, Richard, and Kabin Kanjamapornkul. "GARCH in spinor field." International Journal of Geometric Methods in Modern Physics 16, no. 07 (2019): 1950099. http://dx.doi.org/10.1142/s0219887819500993.

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We extend generalized autoregressive conditional heteroscedastic (GARCH) errors in the Euclidean plane of the scalar field to the tensor field and to the spinor field [Formula: see text], the so-called spinor garch, S-GARCH. We use the model of S-GARCH to explain the stylized fact in financial time series, the so-called volatility cluster, by using hyperbolic coordinate with induced complex lag of delay time scale in mirror symmetry concept. As the result of this theory, we obtain an equivalent form of Yang–Mills equation for financial time series as the interaction between the behavior of tra
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21

ALFARANO, SIMONE, and THOMAS LUX. "A NOISE TRADER MODEL AS A GENERATOR OF APPARENT FINANCIAL POWER LAWS AND LONG MEMORY." Macroeconomic Dynamics 11, S1 (2007): 80–101. http://dx.doi.org/10.1017/s1365100506060299.

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In various agent-based models, the stylized facts of financial markets (unit roots, fat tails, and volatility clustering) have been shown to emerge from the interactions of agents. However, the complexity of these models often limits their analytical accessibility. In this paper we show that even a very simple model of a financial market with heterogeneous interacting agents is capable of reproducing these ubiquitous statistical properties. The simplicity of our approach permits us to derive some analytical insights using concepts from statistical mechanics. In our model, traders are divided i
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22

Maulana, Cep, M. Deni Setiawan, Khaerudin Imawan, and Rahmayanti Rahmayanti. "Resolution of Conflict of Interest in Market Arrangement (Regulation of Modern Market Stalls Losari Kidul)." Interdisciplinary Social Studies 4, no. 3 (2025): 300–315. https://doi.org/10.55324/iss.v4i3.866.

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This study examines the effectiveness of persuasive communication in resolving stall layout conflicts at Losari Kidul Modern Market, Cirebon Regency. Conflicts arise due to the disorderly placement of traders' stalls that interfere with the comfort of visitors and cause unfair competition. The research uses a qualitative approach with observation, interview, and documentation methods, and integrates the Elaboration Likelihood Model (ELM) Theory and Fisher and Ury Conflict Resolution Theory. The results show that persuasive communication strategies, such as open discussion, mediation, and negot
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23

Zhang, Chengwei, Xiaohong Li, Jing Hu, Zhiyong Feng, and Jiaojiao Song. "Formal Modeling and Analysis of Fairness Characterization of E-Commerce Protocols." Journal of Applied Mathematics 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/138370.

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In the past, fairness verification of exchanges between the traders in E-commerce was based on a common assumption, so-called nonrepudiation property, which says that if the parties involved can deny that they have received or sent some information, then the exchanging protocol is unfair. So, the nonrepudiation property is not a sufficient condition. In this paper, we formulate a new notion of fairness verification based on the strand space model and propose a method for fairness verification, which can potentially determine whether evidences have been forged in transactions. We first present
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Elsiefy, Elsayed, and Moustafa Ahmed AbdElaal. "Analyzing Foreign Investors Behavior in the Emerging Stock Market: Evidence from Qatar Stock Market." Accounting and Finance Research 6, no. 4 (2017): 197. http://dx.doi.org/10.5430/afr.v6n4p197.

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This paper examines the effect of the foreign investors fund flow into the domestic stock market. We investigated whether foreign investors are only herders or if they have also the ability to push the market up and down. To answer this question, we include investors’ types as an independent factor in Markov-Switching Model used by Hamilton (1989) to examine the asymmetric effect of the foreign investors during the bull and bear states. Empirical results from Qatar Stock Market suggested that foreign institutional traders are only herding in the market and they cannot play the role of the mark
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Hu, Yandong, Minglei Han, and Yuxin Li. "Research on Suppression Measures for Illegal Trade in Wildlife Based on Change Theory." Transactions on Economics, Business and Management Research 9 (August 21, 2024): 238–46. http://dx.doi.org/10.62051/qjk1f597.

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The global illegal trade in wildlife is flourishing, causing serious consequences for biodiversity and communities. According to the International Criminal Police Organization, wildlife crime has become one of the largest and most valuable illegal activities in the world. This illegal trade has caused serious damage to biodiversity and communities, putting many species on the brink of extinction. To address this issue, this article proposes a series of response measures based on the theory of change: strengthening the suppression of illegal behavior, increasing management incentives, reducing
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26

Maćkowiak, Bartosz, and Mirko Wiederholt. "Optimal Sticky Prices Under Rational Inattention." Credit and Capital Markets – Kredit und Kapital: Volume 52, Issue 4 52, no. 4 (2019): 573–617. http://dx.doi.org/10.3790/ccm.52.4.573.

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Abstract This paper presents a model in which price setting firms decide what to pay attention to, subject to a constraint on information flow. When idiosyncratic conditions are more variable or more important than aggregate conditions, firms pay more attention to idiosyncratic conditions than to aggregate conditions. When we calibrate the model to match the large average absolute size of price changes observed in micro data, prices react fast and by large amounts to idiosyncratic shocks, but only slowly and by small amounts to nominal shocks. Nominal shocks have strong and persistent real eff
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27

KIM, HYUN-JOO. "MODELING AND SCALING OF THE DISTRIBUTION OF TRADE AVALANCHES IN A STOCK MARKET." International Journal of Modern Physics B 25, no. 05 (2011): 665–72. http://dx.doi.org/10.1142/s0217979211058055.

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We study the trading activity in the Korea Stock Exchange by considering trade avalanches. A series of successive trading with small trade time interval is regarded as a trade avalanche of which the size s is defined as the number of trade in a series of successive trades. We measure the distribution of trade avalanches sizes P(s) and find that it follows the power-law behavior P(s) ~ s-α with the exponent α ≈ 2 for two stocks with the largest number of trades. A simple stochastic model which describes the power-law behavior of the distribution of trade avalanche size is introduced. In the mod
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28

Eom, Gyeong Sig, and Sang Beom Han. "A Market Microstructure Analysis of the KOSPI200 Stock Index Options Market: Investor‘s Strategic Behavior." Journal of Derivatives and Quantitative Studies 11, no. 1 (2003): 25–55. http://dx.doi.org/10.1108/jdqs-01-2003-b0002.

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This paper analyzes trader‘s strategic behavior in the KOSPI200 index options market. Using intraday data for various at-the-money options, we obtain the following results : (1) The frequency of trades is a better market statistic than trade size for option price volatility. This may result from the hedging behavior of large traders. This also suggests that the informed traders utilize their informational advantage gradually. (2) The effect of the duration of previous intervals on the expected duration of current intervals is persistent. (3) In the modified ACD model, the standardized distribu
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29

Bahloul, Walid. "Short-term contrarian and sentiment by traders’ types on futures markets." Review of Behavioral Finance 10, no. 4 (2018): 298–319. http://dx.doi.org/10.1108/rbf-07-2017-0063.

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Purpose The purpose of this paper is to investigate whether the interaction between sentiments and past prices can lead to higher abnormal profit in futures markets. Such examinations allow the authors to relate the paper to the debate that focuses on examining the behavior of different types of traders in futures market, and who among these traders destabilize the markets. Design/methodology/approach First, the authors develop new dynamic strategies in US futures market that combine sentiment by type of traders based on trader position provided by the Disaggregated Commitments of Traders with
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Kim, Hong-Bae, Yeonjeong Lee, Sang Hoon Kang, and Seong-Min Yoon. "Regime Dependent Determinants of Credit Default Swap Spread." Journal of Derivatives and Quantitative Studies 20, no. 1 (2012): 41–64. http://dx.doi.org/10.1108/jdqs-01-2012-b0002.

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This study investigates the influence of theoretical determinants on the Korea sovereign CDS spreads from January 2007 to September 2009 based on structural credit risk model. For the analysis of determinants on the sovereign CDS spread, this study adopts interest swap rate as reference interest rate, and decomposes yields curve into two components, ie, interest level and slope. Considering multivariate regression in level and difference variables, Stock returns and Interest rates have a significant effect on the CDS spreads among the theoretical determinants of structural credit risk models.
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Vragov, Roumen. "Detecting Behavioral Biases in Mixed Human-Proxy Online Auction Markets." International Journal of Strategic Information Technology and Applications 4, no. 4 (2013): 60–79. http://dx.doi.org/10.4018/ijsita.2013100104.

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Currently many auction websites directly or indirectly provide support for the use of automated proxies or agents. Buyers can use proxies to monitor auctions and bid at the appropriate time and with the appropriate bid price, sellers can use proxies to set prices or negotiate deals. Proxy complexity varies, however most proxies first require some input on the part of the human trader and then perform the trading task autonomously. This paper proposes and tests a theoretical model of human behavior that can be used to detect behavioral biases in electronic market environments populated by human
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Tsyplakov, Alexander. "An adaptive regression for agent-based modeling." Economics and the Mathematical Methods 59, no. 4 (2023): 111. http://dx.doi.org/10.31857/s042473880028256-0.

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The article discusses an algorithm, which that can be used to implement adaptive behavior of agents in agent-based models (ABM). It is assumed that an agent has some internal parametric model of the surrounding world, which motivates a likelihood function for the information about the world received by the agent. The process of adaptive learning of an agent via changing parameters is presented as filtering in a general state space model. By using a linear Gaussian transition density and a quadratic approximation for the log-likelihood function, an algorithm is obtained, which is called SQ filt
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Dian Octaviani, Reni, Sucherly, Harjanto Prabowo, and Diana Sari. "Determinants of Indonesian Gen Z’s purchase behavior on online travel platforms: Extending UTAUT model." Innovative Marketing 19, no. 4 (2023): 54–65. http://dx.doi.org/10.21511/im.19(4).2023.05.

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Understanding Gen Z’s purchase behavior in online travel agents is essential to effectively engage and meet the unique preferences of this generation, fostering long-term loyalty and satisfaction. Utilizing the unified theory of acceptance and use of technology (UTAUT) as the theoretical foundation, this study aims to analyze the impact of performance expectancy, effort expectancy, social influence, facilitating condition, and trust on purchase decision of flight tickets through online travel agent platforms. The data were collected through an online survey of 253 Gen Z users of online travel
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García-Lizárraga, Melgen A., Francisco Enrique Soto-Franco, Javier Marcial de Jesús Ruiz Velazco-Arce, José Iván Velázquez-Abunader, Jorge Saúl Ramírez-Pérez, and Emilio Peña-Messina. "Population structure and reproductive behavior of Sinaloa cichlid Cichlasoma beani (Jordan, 1889) in a tropical reservoir." Neotropical Ichthyology 9, no. 3 (2011): 593–99. http://dx.doi.org/10.1590/s1679-62252011005000035.

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The population structure and reproductive condition of the Sinaloa cichlid Cichlasoma beani from samples obtained from June 2000 to July 2001 were determined. Samples in the first week each month from the largest trader of tilapia in the Aguamilpa Reservoir in Mexico and were caught in gillnets (9.6 and 11.4 cm stretch-mesh size). Of 596 specimens, there were 427 males and 169 females; monthly sex ratio, frequency of lengths by the multinomial distribution, timing of reproduction, condition index, and size at first maturity was determined. Differences in the sex ratio and monthly totals were s
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SAKURAI, Takehiro, and Kotaro IMAI. "RETAIL TRADE AREA BASED ON CONSUMER BEHAVIOR MODEL." Journal of Architecture and Planning (Transactions of AIJ) 79, no. 704 (2014): 2199–205. http://dx.doi.org/10.3130/aija.79.2199.

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Chakravarty, Sugato, Kiseop Lee, and Yang Xi. "Multivariate Hawkes process model of market participants behavior in the high frequency world." International Journal of Financial Engineering 08, no. 01 (2021): 2050054. http://dx.doi.org/10.1142/s2424786320500541.

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We propose a multivariate Hawkes process to model the interaction between the non-high frequency traders (NHFTs) behavior (Buy and sell) and high frequency traders (HFTs) behavior (Buy and sell). We apply our model to the intraday transaction data of the public sector banks stock in India, which is sampled from March 2012 to June 2012. We find that the mutually-exciting NHFT and HFT behaviors benefit the stocks, which have better average return above the average return of the public sector bank index. We further identify the granger causality relationship for mutually exciting dominating stock
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Putri, Tiara Whidi Suci Sukohadinoto, and Filda Rahmiati. "THE IMPACT OF DIGITAL INFLUENCER TOWARD PURCHASE DECISION ON INDONESIAN STOCK MARKET (STUDY CASE OF GEN Z IN JABODETABEK)." FIRM Journal of Management Studies 9, no. 1 (2024): 122. http://dx.doi.org/10.33021/firm.v9i1.4895.

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<p>The purpose of this research is to analyze the impact of digital influencer toward purchase decision on Indonesian stock market. The population in this research is Gen z investor or trader in Jabodetabek area. The sample in this research was taken by non-probability using purposive sampling and had received 231 returned e-questionnaire. The research method used in this research is quantitative research and the analyze method was conducted by using Partial Least – Structural Equation Model (PLS-SEM) using SmartPLS. The result of this research indicates that Digital Influencer has not s
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Creedy, John. "Launhardt's Model of Exchange." Journal of the History of Economic Thought 16, no. 1 (1994): 40–60. http://dx.doi.org/10.1017/s1053837200001413.

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This paper explores C. F. W. Launhardt's (1885) model of exchange and his associated welfare analysis. Launhardt's analysis, starting from the exchange models of W. S. Jevons and Leon Walras, is noteworthy for his derivation from explicit utility functions of algebraic forms of general equilibrium supply and demand curves expressed as functions of relative prices. Whereas Jevons and Walras concentrated on the pricetaking equilibrium properties of their exchange models, Launhardt explored a process of disequilibrium trading in which successive trades take place at the “short end” of the market,
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Bui, Trong Tien Bao. "An evaluation of the new tourist behavior model based on the extended theory of planned behavior." Journal of Tourism, Heritage & Services Marketing 8, no. 2 (2022): 48–57. https://doi.org/10.5281/zenodo.7358733.

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<strong><em>Purpose</em></strong><em>: The current study aims to evaluate and validate travel intention through the extended theory of planned behaviour (TPB) and overall image of the destination, e-WOM, that travel intention linked to actual tourist behavior. </em> <strong><em>Methods</em></strong><em>: A sample of 389 domestic tourists was empirically exaimined, and analysed by using the partial least squares structural equation modelling (PLS-SEM) technique in order to demonstrate that the new conceptual model has a power to an insight understanding of tourist behaviour. </em> <strong><em>R
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Astina, Made Arya, and Ketut Muliadiasa. "KOMUNIKASI LINTAS BUDAYA ANTARA PEDAGANG LOKAL DENGAN WISATAWAN ASING DI PANTAI SANUR." Jurnal Ilmiah Hospitality Management 8, no. 1 (2018): 7–16. http://dx.doi.org/10.22334/jihm.v8i1.81.

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It is interesting to do research about the interaction between the local seller and the foreigners. The sellers who generally have Balinese cultural and basic educational background, every day to communicate with the tourists who have a language and a different culture. Based on the back ground of the problem, this research can be indicated into: (1) How is the pattern of cross-cultural communication with foreign tourists with local traders at Sanur Beach? (2) What are the factors which are supporting and threat the local traders in communicating with foreign tourists on the beaches of Sanur?.
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Miahkyi, Mykhailo. "Dynamic model of currency exchange based on investor behavior." Information, Computing and Intelligent systems, no. 5 (December 26, 2024): 137–49. https://doi.org/10.20535/2786-8729.5.2024.316456.

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In the modern financial environment, cryptocurrencies have gained significant popularity, becoming an important element of the global economy and financial markets. The dynamic development of blockchain technologies and decentralized financial instruments fosters increased interest from both private investors and institutional players. However, the high volatility of cryptocurrencies and the complexity of the mechanisms behind their price formation necessitate a detailed study of these processes. This paper models cryptocurrency exchange operations, analyzing price formation influenced by buyi
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IORI, GIULIA. "AVALANCHE DYNAMICS AND TRADING FRICTION EFFECTS ON STOCK MARKET RETURNS." International Journal of Modern Physics C 10, no. 06 (1999): 1149–62. http://dx.doi.org/10.1142/s0129183199000930.

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We propose a model with heterogeneous interacting traders which can explain some of the stylized facts of stock market returns. A generalized version of the Random Field Ising Model (RFIM) is introduced to describe trading behavior. Imitation effects, which induce agents to trade, can generate avalanches in trading volume and large gaps in demand and supply. A trade friction is introduced which, by responding to price movements, creates a feedback mechanism on future trading and generates volatility clustering.
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Andersch, Henrike, Christian Arnold, Ann-Kathrin Seemann, and Jörg Lindenmeier. "Understanding ethical purchasing behavior: Validation of an enhanced stage model of ethical behavior." Journal of Retailing and Consumer Services 48 (February 15, 2019): 50–59. https://doi.org/10.5281/zenodo.3727556.

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This article uses a stage model of ethical decision-making to explain consumers&rsquo; inclination toward ethical product alternatives. The current paper enhances the stage-model approach by considering egoistic purchasing motives and gender as moderating variables. The current study shows that the effect of negative affect on ethical purchasing intention is mediated by ethical judgement and moral obligation. Interestingly, the mediation effect is more pronounced for male respondents. Furthermore, egoistic purchasing motives moderate the effects of the stage-model components on ethical judgmen
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Choi, HuynBin, and Sunjin Yu. "Comparison by Vive Tracker Model According to Virtual Environment Behavior Scenario." Journal of Korean Institute of Information Technology 23, no. 1 (2025): 221–29. https://doi.org/10.14801/jkiit.2025.23.1.221.

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A. Abdulsalam, Fayez, and Amani kh. Bouresli. "Price-volume relation behavior around structural breaks in Kuwait Boursa." Innovative Marketing 15, no. 2 (2019): 1–13. http://dx.doi.org/10.21511/im.15(2).2019.01.

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This study attempts to conduct a comprehensive investigation of the price-volume relation using daily stock prices of all publicly traded firms in Kuwait Boursa over the period 2005–2017. The aim is to provide evidence from an emerging market on the information arrival hypothesis, which is explained by the mixture of distribution and the sequential information arrival hypotheses. The investigation covered two main structural events; the 2008 financial crisis and the activation of Kuwait’s New Securities Law in 2010 (CMA). The GARCH-ARCH test revealed a positive contemporaneous relation between
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NYSTRÖM, KAJ, SIDI MOHAMED OULD ALY, and CHANGYONG ZHANG. "MARKET MAKING AND PORTFOLIO LIQUIDATION UNDER UNCERTAINTY." International Journal of Theoretical and Applied Finance 17, no. 05 (2014): 1450034. http://dx.doi.org/10.1142/s0219024914500344.

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Market making and optimal portfolio liquidation in the context of electronic limit order books are of considerably practical importance for high frequency (HF) market makers as well as more traditional brokerage firms supplying optimal execution services for clients. In general, the two problems are based on probabilistic models defined on certain reference probability spaces. However, due to uncertainty in model parameters or in periods of extreme market turmoil, ambiguity concerning the correct underlying probability measure may appear and an assessment of model risk, as well as the uncertai
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Hadadi Raghavendra, Ananya. "Predictive Dynamics in Cryptocurrency Trading: Unraveling Behavioral and Psychological Influences." Journal of Prediction Markets 18, no. 3 (2025): 19–36. https://doi.org/10.5750/jpm.v18i3.2179.

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The rapid expansion of cryptocurrency trading has become a defining feature of contemporary financial markets, attracting a constantly growing group of participants, now surpassing 106 million worldwide. This research focuses on the psychological and behavioral foundations of trading behaviors, investigating how individual psychological states and lifestyle choices impact cryptocurrency trading activities. Using Ordinary Least Squares (OLS) regression, we examine the influence of various factors such as Loneliness, Negative Emotions, Fear of Missing Out (FOMO), Socialization, Healthy Lifestyle
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Hernández-Lloreda, María Victoria, Félix Zaragoza, and Fernando Colmenares. "GROOMING AND COERCION IN ONE-MALE UNITS OF HAMADRYAS BABOONS: MARKET FORCES OR RELATIONSHIP CONSTRAINTS?" Behaviour 139, no. 11-12 (2002): 1525–53. http://dx.doi.org/10.1163/15685390260514753.

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AbstractIn the stable and cohesive social groups of primates (and other group-living mammals) individuals maintain long-lasting partnerships with a subset of their group companions. Such inter-individual relationships are based on the active exchange of a variety of affiliative, agonistic and cooperative behaviour patterns. Since these interactions influence the partners' biological fitness they are often regarded as 'services' or 'commodities' that are offered ('sold') and demanded ('bought') by individuals in order to cultivate those partnerships that best contribute to maximise their fitnes
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Maksum, SN. "MODEL OF INTERCULTURAL RECEPTION IN TRADE." IJED: International Journal of Economy Development Research 2, no. 2 (2023): 35–47. http://dx.doi.org/10.33650/ijed.v2i2.9448.

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This study aims to understand how traders engage in social interactions at Besuki Public Market. This is important because such interactions foster attachment that contributes to a comfortable market atmosphere. This research uses a qualitative method with a phenomenological approach. In the analysis, the researcher conducted participant observation, documentation, and structured interviews with traders, buyers, and the market manager. The Intercultural Reception interaction at the market is examined in two aspects: 1) The construction of interaction at Pasar Umum Besuki. 2) The Intercultural
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KIRBY, MAC, M. EJAZ QURESHI, MOHAMMED MAINUDDIN, and BRENDA DYACK. "CATCHMENT BEHAVIOR AND COUNTER-CYCLICAL WATER TRADE: AN INTEGRATED MODEL." Natural Resource Modeling 19, no. 4 (2008): 483–510. http://dx.doi.org/10.1111/j.1939-7445.2006.tb00191.x.

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