Subjects -> BUSINESS AND ECONOMICS (Total: 3570 journals)
    - ACCOUNTING (132 journals)
    - BANKING AND FINANCE (306 journals)
    - BUSINESS AND ECONOMICS (1248 journals)
    - CONSUMER EDUCATION AND PROTECTION (20 journals)
    - COOPERATIVES (4 journals)
    - ECONOMIC SCIENCES: GENERAL (212 journals)
    - ECONOMIC SYSTEMS, THEORIES AND HISTORY (235 journals)
    - FASHION AND CONSUMER TRENDS (20 journals)
    - HUMAN RESOURCES (103 journals)
    - INSURANCE (26 journals)
    - INTERNATIONAL COMMERCE (145 journals)
    - INTERNATIONAL DEVELOPMENT AND AID (103 journals)
    - INVESTMENTS (22 journals)
    - LABOR AND INDUSTRIAL RELATIONS (61 journals)
    - MACROECONOMICS (17 journals)
    - MANAGEMENT (595 journals)
    - MARKETING AND PURCHASING (116 journals)
    - MICROECONOMICS (23 journals)
    - PRODUCTION OF GOODS AND SERVICES (143 journals)
    - PUBLIC FINANCE, TAXATION (37 journals)
    - TRADE AND INDUSTRIAL DIRECTORIES (2 journals)

BUSINESS AND ECONOMICS (1248 journals)                  1 2 3 4 5 6 7 | Last

Showing 1 - 200 of 1566 Journals sorted alphabetically
360 : Revista de Ciencias de la Gestión     Open Access   (Followers: 2)
4OR: A Quarterly Journal of Operations Research     Hybrid Journal   (Followers: 13)
Abacus     Hybrid Journal   (Followers: 16)
Accounting Forum     Hybrid Journal   (Followers: 22)
Acta Commercii     Open Access   (Followers: 3)
Acta Marisiensis : Seria Oeconomica     Open Access  
Acta Oeconomica     Full-text available via subscription   (Followers: 3)
Acta Scientiarum. Human and Social Sciences     Open Access   (Followers: 6)
Acta Universitatis Danubius. Œconomica     Open Access   (Followers: 1)
Acta Universitatis Lodziensis : Folia Geographica Socio-Oeconomica     Open Access   (Followers: 1)
Acta Universitatis Nicolai Copernici Zarządzanie     Open Access   (Followers: 4)
AD-minister     Open Access   (Followers: 3)
Adam Academy : Journal of Social Sciences / Adam Akademi : Sosyal Bilimler Dergisi     Open Access   (Followers: 3)
AdBispreneur : Jurnal Pemikiran dan Penelitian Administrasi Bisnis dan Kewirausahaan     Open Access   (Followers: 1)
Admisi dan Bisnis     Open Access   (Followers: 1)
Advanced Sustainable Systems     Hybrid Journal   (Followers: 7)
Advances in Developing Human Resources     Hybrid Journal   (Followers: 26)
Advances in Economics and Business     Open Access   (Followers: 21)
Africa Journal of Management     Hybrid Journal   (Followers: 2)
AfricaGrowth Agenda     Full-text available via subscription   (Followers: 3)
African Affairs     Hybrid Journal   (Followers: 68)
African Business     Full-text available via subscription   (Followers: 3)
African Development Review     Hybrid Journal   (Followers: 45)
African Journal of Business and Economic Research     Full-text available via subscription   (Followers: 6)
African Journal of Business Ethics     Open Access   (Followers: 7)
African Review of Economics and Finance     Open Access   (Followers: 7)
Afro Eurasian Studies     Open Access   (Followers: 1)
Afro-Asian Journal of Finance and Accounting     Hybrid Journal   (Followers: 5)
Afyon Kocatepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi     Open Access   (Followers: 3)
Agronomy     Open Access   (Followers: 12)
Akademik Yaklaşımlar Dergisi     Open Access   (Followers: 1)
AL-Qadisiyah Journal For Administrative and Economic sciences     Open Access   (Followers: 2)
Alphanumeric Journal : The Journal of Operations Research, Statistics, Econometrics and Management Information Systems     Open Access   (Followers: 9)
American Economic Journal : Applied Economics     Full-text available via subscription   (Followers: 217)
American Enterprise Institute     Free   (Followers: 3)
American Journal of Business     Hybrid Journal   (Followers: 20)
American Journal of Business and Management     Open Access   (Followers: 51)
American Journal of Business Education     Open Access   (Followers: 14)
American Journal of Economics and Business Administration     Open Access   (Followers: 34)
American Journal of Economics and Sociology     Hybrid Journal   (Followers: 36)
American Journal of Evaluation     Hybrid Journal   (Followers: 16)
American Journal of Finance and Accounting     Hybrid Journal   (Followers: 22)
American Journal of Health Economics     Full-text available via subscription   (Followers: 19)
American Journal of Industrial and Business Management     Open Access   (Followers: 24)
American Journal of Medical Quality     Hybrid Journal   (Followers: 15)
American Law and Economics Review     Hybrid Journal   (Followers: 32)
ANALES de la Universidad Central del Ecuador     Open Access   (Followers: 1)
Ankara University SBF Journal     Open Access   (Followers: 1)
Annals in Social Responsibility     Full-text available via subscription  
Annals of Finance     Hybrid Journal   (Followers: 33)
Annals of Operations Research     Hybrid Journal   (Followers: 14)
Annual Review of Economics     Full-text available via subscription   (Followers: 44)
Anuario Facultad de Ciencias Económicas y Empresariales     Open Access   (Followers: 1)
Applied Developmental Science     Hybrid Journal   (Followers: 4)
Applied Economics     Hybrid Journal   (Followers: 58)
Applied Economics Letters     Hybrid Journal   (Followers: 31)
Applied Economics Quarterly     Full-text available via subscription   (Followers: 12)
Applied Financial Economics     Hybrid Journal   (Followers: 26)
Applied Mathematical Finance     Hybrid Journal   (Followers: 7)
Applied Stochastic Models in Business and Industry     Hybrid Journal   (Followers: 4)
Apuntes Universitarios     Open Access   (Followers: 1)
Arab Economic and Business Journal     Open Access   (Followers: 3)
Archives of Business Research     Open Access   (Followers: 5)
Arena Journal     Full-text available via subscription   (Followers: 1)
Argomenti. Rivista di economia, cultura e ricerca sociale     Open Access   (Followers: 4)
ASEAN Economic Bulletin     Full-text available via subscription   (Followers: 7)
Asia Pacific Business Review     Hybrid Journal   (Followers: 9)
Asia Pacific Journal of Human Resources     Hybrid Journal   (Followers: 209)
Asia Pacific Journal of Innovation and Entrepreneurship     Open Access   (Followers: 3)
Asia Pacific Viewpoint     Hybrid Journal   (Followers: 4)
Asia-Pacific Journal of Business Administration     Hybrid Journal   (Followers: 6)
Asia-Pacific Journal of Operational Research     Hybrid Journal   (Followers: 3)
Asia-Pacific Journal of Rural Development     Hybrid Journal   (Followers: 2)
Asia-Pacific Management and Business Application     Open Access   (Followers: 1)
Asian Case Research Journal     Hybrid Journal   (Followers: 1)
Asian Development Review     Open Access   (Followers: 13)
Asian Economic Journal     Hybrid Journal   (Followers: 10)
Asian Economic Papers     Hybrid Journal   (Followers: 8)
Asian Economic Policy Review     Hybrid Journal   (Followers: 5)
Asian Journal of Business Ethics     Hybrid Journal   (Followers: 9)
Asian Journal of Economics, Business and Accounting     Open Access  
Asian Journal of Social Sciences and Management Studies     Open Access   (Followers: 6)
Asian Journal of Sustainability and Social Responsibility     Open Access   (Followers: 2)
Asian Journal of Technology Innovation     Hybrid Journal   (Followers: 5)
Asian-pacific Economic Literature     Hybrid Journal   (Followers: 8)
AStA Wirtschafts- und Sozialstatistisches Archiv     Hybrid Journal   (Followers: 3)
Atlantic Economic Journal     Hybrid Journal   (Followers: 11)
Australasian Journal of Regional Studies, The     Full-text available via subscription   (Followers: 1)
Australian Cottongrower, The     Full-text available via subscription  
Australian Economic Papers     Hybrid Journal   (Followers: 10)
Australian Economic Review     Hybrid Journal   (Followers: 4)
Australian Journal of Maritime and Ocean Affairs     Hybrid Journal   (Followers: 7)
Baltic Journal of Real Estate Economics and Construction Management     Open Access   (Followers: 5)
Banks in Insurance Report     Hybrid Journal   (Followers: 1)
BBR - Brazilian Business Review     Open Access   (Followers: 3)
Benchmarking : An International Journal     Hybrid Journal   (Followers: 7)
Benefit : Jurnal Manajemen dan Bisnis     Open Access  
Berkeley Business Law Journal     Free   (Followers: 11)
Beta : Scandinavian Journal of Business Research     Full-text available via subscription  
Bio-based and Applied Economics     Open Access   (Followers: 1)
Biodegradation     Hybrid Journal   (Followers: 2)
Biology Direct     Open Access   (Followers: 9)
BizInfo (Blace) Journal of Economics, Management and Informatics     Open Access   (Followers: 1)
Black Enterprise     Full-text available via subscription  
Board & Administrator for Administrators only     Hybrid Journal  
Boletim Técnico do Senac     Open Access  
Border Crossing : Transnational Working Papers     Open Access   (Followers: 2)
Brazilian Business Review     Open Access  
Briefings in Real Estate Finance     Hybrid Journal   (Followers: 7)
British Journal of Industrial Relations     Hybrid Journal   (Followers: 48)
Brookings Papers on Economic Activity     Open Access   (Followers: 68)
Brookings Trade Forum     Full-text available via subscription   (Followers: 4)
BRQ Business Research Quarterly     Open Access   (Followers: 2)
BU Academic Review     Open Access  
Bulletin of Economic Research     Hybrid Journal   (Followers: 19)
Bulletin of Geography. Socio-economic Series     Open Access   (Followers: 3)
Bulletin of Indonesian Economic Studies     Hybrid Journal   (Followers: 5)
Bulletin of the Dnipropetrovsk University. Series : Management of Innovations     Open Access   (Followers: 1)
Business & Entrepreneurship Journal     Open Access   (Followers: 24)
Business & Information Systems Engineering     Hybrid Journal   (Followers: 5)
Business & Society     Hybrid Journal   (Followers: 14)
Business : Theory and Practice / Verslas : Teorija ir Praktika     Open Access   (Followers: 1)
Business and Economic Research     Open Access   (Followers: 8)
Business and Management Horizons     Open Access   (Followers: 9)
Business and Management Research     Open Access   (Followers: 17)
Business and Management Studies     Open Access   (Followers: 11)
Business and Professional Communication Quarterly     Hybrid Journal   (Followers: 8)
Business and Society Review     Hybrid Journal   (Followers: 5)
Business Economics     Hybrid Journal   (Followers: 14)
Business Ethics Quarterly     Full-text available via subscription   (Followers: 18)
Business Ethics: A European Review     Hybrid Journal   (Followers: 20)
Business Horizons     Hybrid Journal   (Followers: 11)
Business Information Review     Hybrid Journal   (Followers: 15)
Business Management Analysis Journal     Open Access   (Followers: 3)
Business Management and Strategy     Open Access   (Followers: 38)
Business Research     Open Access   (Followers: 2)
Business Review Journal     Open Access   (Followers: 1)
Business Strategy and Development     Hybrid Journal  
Business Strategy and the Environment     Hybrid Journal   (Followers: 11)
Business Strategy Review     Hybrid Journal   (Followers: 12)
Business Strategy Series     Hybrid Journal   (Followers: 6)
Business, Economics and Management Research Journal : BEMAREJ     Open Access   (Followers: 4)
Business: Theory and Practice     Open Access   (Followers: 1)
Cambridge Journal of Economics     Hybrid Journal   (Followers: 77)
Cambridge Journal of Regions, Economy and Society     Hybrid Journal   (Followers: 11)
Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration     Hybrid Journal   (Followers: 1)
Canadian Journal of Economics/Revue Canadienne d`Economique     Hybrid Journal   (Followers: 43)
Canadian journal of nonprofit and social economy research     Open Access   (Followers: 3)
Capitalism Nature Socialism     Hybrid Journal   (Followers: 21)
Case Studies in Business and Management     Open Access   (Followers: 12)
Central European Business Review     Open Access   (Followers: 2)
Central European Journal of Operations Research     Hybrid Journal   (Followers: 5)
Central European Journal of Public Policy     Open Access   (Followers: 3)
CESifo Economic Studies     Hybrid Journal   (Followers: 23)
Chain Reaction     Full-text available via subscription  
Challenge     Full-text available via subscription   (Followers: 6)
Chandrakasem Rajabhat University Journal of Graduate School     Open Access  
China & World Economy     Hybrid Journal   (Followers: 13)
China : An International Journal     Full-text available via subscription   (Followers: 20)
China Economic Journal : The Official Journal of the China Center for Economic Research (CCER) at Peking University     Hybrid Journal   (Followers: 14)
China Economic Review     Hybrid Journal   (Followers: 14)
China Finance Review International     Hybrid Journal   (Followers: 4)
China perspectives     Open Access   (Followers: 12)
Chinese Economy     Full-text available via subscription   (Followers: 3)
Chinese Journal of Population, Resources and Environment     Open Access  
Chinese Journal of Social Science and Management     Open Access  
Christian University of Thailand Journal     Open Access  
Chulalongkorn Business Review     Open Access  
Ciencia, Economía y Negocios     Open Access  
Circular Economy and Sustainability     Hybrid Journal   (Followers: 1)
Cleaner and Responsible Consumption     Open Access  
Cleaner Logistics and Supply Chain     Open Access   (Followers: 1)
Climate and Energy     Full-text available via subscription   (Followers: 6)
CLIO América     Open Access   (Followers: 2)
Cliometrica     Hybrid Journal   (Followers: 4)
Colombo Business Journal     Open Access  
Community Development Journal     Hybrid Journal   (Followers: 24)
Compendium : Cuadernos de Economía y Administración     Open Access  
Compensation & Benefits Review     Hybrid Journal   (Followers: 6)
Competition & Change     Hybrid Journal   (Followers: 12)
Competitive Intelligence Review     Hybrid Journal   (Followers: 4)
Competitiveness Review : An International Business Journal incorporating Journal of Global Competitiveness     Hybrid Journal  
Computational Economics     Hybrid Journal   (Followers: 12)
Computational Mathematics and Modeling     Hybrid Journal   (Followers: 8)
Computer Law & Security Review     Hybrid Journal   (Followers: 23)
Computers & Operations Research     Hybrid Journal   (Followers: 14)
Consilience : The Journal of Sustainable Development     Open Access   (Followers: 2)
Construction Innovation: Information, Process, Management     Hybrid Journal   (Followers: 14)
Consumer Behavior Studies Journal     Open Access   (Followers: 2)
Consumer Psychology Review     Hybrid Journal   (Followers: 3)
Contemporary Wales     Full-text available via subscription   (Followers: 1)
Contextus - Revista Contemporânea de Economia e Gestão     Open Access   (Followers: 1)
Continuity & Resilience Review     Hybrid Journal   (Followers: 1)
Contributions to Political Economy     Hybrid Journal   (Followers: 9)
Corporate Communications An International Journal     Hybrid Journal   (Followers: 5)
Corporate Philanthropy Report     Hybrid Journal   (Followers: 2)
Corporate Reputation Review     Hybrid Journal   (Followers: 4)
Creative and Knowledge Society     Open Access   (Followers: 9)
Creative Industries Journal     Hybrid Journal   (Followers: 8)
Cuadernos de Administración (Universidad del Valle)     Open Access   (Followers: 1)

        1 2 3 4 5 6 7 | Last

Similar Journals
Journal Cover
Computational Economics
Journal Prestige (SJR): 0.433
Citation Impact (citeScore): 1
Number of Followers: 12  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1572-9974 - ISSN (Online) 0927-7099
Published by Springer-Verlag Homepage  [2469 journals]
  • Modeling Tail Dependence Using Stochastic Volatility Model

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      Abstract: Abstract As one can see in many previous well-known papers, an one–factor stochastic volatility model has its limitation to fit the market dynamics. Based on empirical facts that the market volatility can be well explained by the combination of short-term and long-term volatilities, a multi–scale stochastic volatility model that is governed by two factors evolving on different time-scales: a fast mean-reverting factor and a persistent, slow mean-reverting factor is applied to capture the dynamics of two assets in this paper. The validity of the model was tested by calibration against the market return distribution of the S&P 500 and Dow Jones Industrial Average Indices. Based on this multiscale model, an analytically approximate formula, in terms of the Gaussian copula, was obtained for the joint transition density and the parameters of this density were estimated using daily data from the S&P 500 and DAX Indices.
      PubDate: 2022-05-24
       
  • Ensuring Mutual Benefit in a Trans-boundary Industrial Pollution Control
           Problem

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      Abstract: Abstract Technological developments play a crucial role in allowing governments and industries to meet carbon emission targets, whilst maintaining cost effectiveness. Mathematical modeling related to climate change has often included technology (including technology transfer between nations) as an effective policy instrument. However, such models often incorporate technology as an exogenous variable, highlighting the need to further interrogate the role of technology, its dynamics and limitations on reducing international pollution levels to improve sustainability, energy reliability and subsequent policy initiatives. Hence, in this study, we consider technology as an endogenous variable within a broader trans-boundary industrial pollution problem with random interference factors to obtain a closed-loop (Markov perfect) Nash equilibrium. We then articulate the Nash non-cooperative and cooperative equilibria via a stochastic linear quadratic differential game paradigm and prove the stability of a cooperative game by using Pareto optimal solution. We show that under such strategies to control carbon pollution a cooperative game is more efficient than a non-cooperative game, emphasizing the importance of technology transfer and collaboration between nations, subsequently serving as a mutual benefit for multi-lateral efforts to reduce global carbon emissions. In doing so, our study highlights the role of government subsidy incentives when collaborating with industry to encourage the integration of carbon-reducing technologies, whilst simultaneously increasing each country’s net revenue. Hence, our study provides a novel insight and framework for policymakers when encouraging industry to use carbon capturing and storage technologies. We also emphasize that efforts to coordinate emissions control should be pursued jointly to ensure mutual benefit for government and industry alike.
      PubDate: 2022-05-23
       
  • Reconstructing the Emergent Organization of Information Flows in
           International Stock Markets: A Computational Complex Systems Approach

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      Abstract: Abstract In this paper we study the interdependences between the dynamics of the stock market indexes of 30 different stock markets across 29 different countries to analyze the nonlinear dynamics of their information flows. We find that the system exhibits complex dynamic properties that go beyond what has been generally found in the previous literature, suggesting that the structure of information flows is regulated by subtle homeostatic forces that cause the roles of the single markets in the whole network to evolve in unexpected ways. We present a toolkit of ANN-based methods that can be systematically deployed to analyze different aspects of such dynamics.
      PubDate: 2022-05-20
       
  • Spatio-Temporal Instrumental Variables Regression with Missing Data: A
           Bayesian Approach

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      Abstract: Abstract This paper proposes an extension of the Bayesian instrumental variables regression which allows spatial and temporal correlation among observations. For that, we introduce a double separable covariance matrix, adopting a Conditional Autoregressive structure for the spatial component, and a first-order autoregressive process for the temporal component. We also introduce a Bayesian multiple imputation to handle missing data considering uncertainty. The inference procedure is described joint with a step by step Monte Carlo Markov Chain algorithm for parameters estimation. We illustrate our methodology through a simulation study and a real application that investigates how broadband affects the Gross Domestic Product of municipalities in the state of Mato Grosso do Sul from 2010 to 2017.
      PubDate: 2022-05-19
       
  • A Multi-market Comparison of the Intraday Lead–Lag Relations Among Stock
           Index-Based Spot, Futures and Options

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      Abstract: Abstract Using 1-min data, we explore the dynamic variation of the intraday lead–lag relations between stock indices and their derivatives through a comprehensive study with broader coverage of research objectives and methodologies. This paper provides explicit evidence that the futures and options exhibit price leadership over the spot market, and the options is ahead of the futures on most trading days in all three markets. This paper also reports a new finding that the relation between the derivative and its underlying index reverses when the index return has a significantly larger mean value, and the reversal phenomenon is also observed in the relations between the futures and the options, which enriches the empirical results of intraday lead–lag relations. Moreover, these conclusions still hold under the impact of extreme events, e.g., the outbreak of the Covid-19. Finally, we construct a pair trading strategy based on the intraday lead–lag relationships, which can get better performance than the corresponding spot index. Our findings can potentially help regulators understand the price discovery process between the index and its derivatives, and also be of great value for timely adjustment of investors intraday trading strategies.
      PubDate: 2022-05-14
       
  • Exploring the Nonlinear Idiosyncratic Volatility Puzzle: Evidence from
           China

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      Abstract: Abstract This paper studies the spectrum of the idiosyncratic volatility (IVOL) puzzle in the Chinese A-share market using functional data analysis (FDA). It highlights a nonlinear IVOL puzzle with a steady reduction in the bottom 20% of average returns and a large drop of 1% in the top 10%, consistent with the herding, certainty, and reflection effects in China’s A-share markets. Furthermore, empirical evidence suggests that the FDA technique has a 30% greater goodness of fit than linear regressions, suggesting that nonlinearity plays a non-negligible role in the IVOL puzzle. These results can be useful for investors and hedgers, as they show that stock returns decline accelerated as the IVOL increases.
      PubDate: 2022-05-11
       
  • Investigating the Asymmetric Behavior of Oil Price Volatility Using
           Support Vector Regression

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      Abstract: Abstract This paper investigates the asymmetric behavior of oil price volatility using different types of Asymmetric Power ARCH (APARCH) model. We compare the estimation and forecasting performance of the models estimated from the maximum likelihood estimation (MLE) method and support vector machine (SVM) based regressions. Combining nonparametric SVM method with parametric APARCH model not only enables to keep interpretations of the parametric models but also leads to more precise estimation and forecasting results. Daily or weekly oil price volatility is investigated from March 8, 1991 to September 13, 2019. This whole sample period is split into four sub-periods based on the occurrence of certain economic events, and we examine whether the asymmetric behavior of the volatility exists in each sub-period. Our results indicate that SVM regression generally outperforms the other method with lower estimation and forecasting errors, and it is more robust to the choice of different APARCH models than the MLE counterparts are. Besides, the estimation results of the SVM based regressions in each sub-period show that the ARCH models with asymmetric power generally perform better than the models with symmetric power when the data sub-period includes large swings in oil price. The asymmetric behavior of oil price volatility, however, is not detected when the analysis is done using the whole sample period. This result underscores the importance of identifying the dynamics of the dataset in different periods to improve estimation and forecasting performance in modelling oil price volatility. This paper, therefore, examines volatility behavior of oil price with both methodological and economic underpinnings.
      PubDate: 2022-05-06
       
  • A New Stabled Relaxation Method for Pricing European Options Under the
           Time-Fractional Vasicek Model

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      Abstract: Abstract Our objective is to solve the time-fractional Vasicek model for European options with a new stabled relaxation method. This new approach is based on the splitting method. Some numerical tests are presented to show the stability and the reliability of our approach with the theory of options.
      PubDate: 2022-05-06
       
  • Auctions: A New Method for Selling Objects with Bimodal Density Functions

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      Abstract: Abstract In this paper we define a new auction, called the Draw auction. It is based on the implementation of a draw when a minimum price of sale is not reached. We find that a Bayesian Nash equilibrium is reached in the Draw auction when each player bids his true personal valuation of the object. Furthermore, we show that the expected profit for the seller in the Draw auction is greater than in second-price auctions, with or without minimum price of sale. We make this affirmation for objects whose valuation can be modeled as a bimodal density function in which the first mode is much greater than the second one. Regarding the Myerson auction, we show that the expected profit for the seller in the Draw auction is nearly as good as the expected profit in the optimal auction, with the difference that our method is much more simple to implement than Myerson’s one. All these results are shown by computational tests, for whose development we have defined an algorithm to calculate Myerson auction.
      PubDate: 2022-05-03
       
  • Derivation and Application of Some Fractional Black–Scholes Equations
           Driven by Fractional G-Brownian Motion

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      Abstract: Abstract In this paper, a new concept for some stochastic process called fractional G-Brownian motion (fGBm) is developed and applied to the financial markets. Compared to the standard Brownian motion, fractional Brownian motion and G-Brownian motion, the fGBm can consider the long-range dependence and uncertain volatility simultaneously. Thus it generalizes the concepts of the former three processes, and can be a better alternative in real applications. Driven by the fGBm, a generalized fractional Black–Scholes equation (FBSE) for some European call option and put option is derived with the help of Taylor’s series of fractional order and the theory of absence of arbitrage. Meanwhile, some explicit option pricing formulas for the derived FBSE are also obtained, which generalize the classical Black–Scholes formulas for the prices of European options given by Black and Scholes in 1973.
      PubDate: 2022-04-25
       
  • A New Neural Network Approach for Predicting the Volatility of Stock
           Market

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      Abstract: Abstract The prediction of stock market volatility is an important and challenging task in the financial market. Recently, neural network approaches have been applied to obtain better prediction of volatility, however, there have been few studies on artificial manipulation of the volatility distribution. Because the probability density of volatility is extremely biased to the left, it is a challenging problem to obtain successful predictions on the right side of the density domain, that is, abnormal events. To overcome the problem, we propose a novel approach, we call it Volume-Up (VU) strategy, that manipulates the original volatility distributions of invited explanatory variables including the Standard & Poor’s 500 (S&P 500) stock index by taking a non-linear function on them. Multi-Layer Perceptron (MLP), Recurrent Neural Network (RNN), and Long Short-Term Memory (LSTM) are used as our implementation models to test the performances of VU. It is found that the manipulated information improves the prediction performance of one day ahead volatility not only on the left but also on the right probability density region of S&P 500. Averaged gains of root mean square error (RMSE) and RMSE on \(P>0.8\) against the native strategy over all the three models were 27.0% and 19.9%, respectively. Additionally, the overlapping area between label and prediction is employed as an error metric to assess the distributional effects by VU, and the result shows that VU contributes to enhance prediction performances by enlarging the area.
      PubDate: 2022-04-24
       
  • Weighted-Average Least Squares (WALS): Confidence and Prediction Intervals

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      Abstract: Abstract We consider inference for linear regression models estimated by weighted-average least squares (WALS), a frequentist model averaging approach with a Bayesian flavor. We propose a new simulation method that yields re-centered confidence and prediction intervals by exploiting the bias-corrected posterior mean as a frequentist estimator of a normal location parameter. We investigate the performance of WALS and several alternative estimators in an extensive set of Monte Carlo experiments that allow for increasing complexity of the model space and heteroskedastic, skewed, and thick-tailed regression errors. In addition to WALS, we include unrestricted and fully restricted least squares, two post-selection estimators based on classical information criteria, a penalization estimator, and Mallows and jackknife model averaging estimators. We show that, compared to the other approaches, WALS performs well in terms of the mean squared error of point estimates, and also in terms of coverage errors and lengths of confidence and prediction intervals.
      PubDate: 2022-04-22
       
  • Bitcoin Price Prediction: A Machine Learning Sample Dimension Approach

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      Abstract: Abstract The purpose of the paper is to predict Bitcoin prices using various machine learning techniques. Due to its high volatility attribute, accurate price prediction is the need of the hour for sound investment decision-making. At the offset, this study categorizes Bitcoin price by daily and high-frequency price (5-min interval price). For its daily and 5-min interval price prediction, a set of high-dimensional features and fundamental trading features are employed, respectively. Thereafter, we find that statistical methods like Logistic Regression predict daily price with 64.84% accuracy while complex machine learning algorithms like XGBoost predict 5-min interval price with an accuracy level of 59.4%. This work on Bitcoin price prediction recognizes the significance of sample dimensions in machine learning algorithms.
      PubDate: 2022-04-21
       
  • Analytic Method for Pricing Vulnerable External Barrier Options

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      Abstract: Abstract External barrier options are financial securities that have two assets for stochastic variables, where the payoff depends on one underlying asset and the barrier depends on another state variable such that it determines whether the option is knocked in or out. In this study, considering the financial derivatives subject to the default risks of the option writer in over-the-counter markets since the global financial crisis of 2007–2008, we study vulnerable external barrier option prices by utilizing multivariate Mellin transforms and the method of images and then examine the behaviors and sensitivities of the vulnerable external barrier option prices in terms of the model parameters. Based on the results obtained, our study has two main contributions. First, by using multivariate Mellin transform approaches, we can find an explicit-form pricing formula for the option prices more effectively and easily, resolving the complexity of calculation of the option prices by using probabilistic or other methods. Second, we verify that our closed-form solution has been accurately and efficiently obtained by comparing the closed-form solution with the Monte Carlo simulation solution.
      PubDate: 2022-04-15
       
  • Multi–Scale Risk Connectedness Between Economic Policy Uncertainty of
           China and Global Oil Prices in Time–Frequency Domains

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      Abstract: Abstract With a sample of monthly data from January 2000 to July 2021, this paper investigates the risk connectedness relationship between different kinds of China’s EPU and global oil prices in both time and frequency domains. To achieve that, a research framework mainly consists of wavelet transform method and spillover index approach is established. The results show that EPU of China receives the risk spillover from global oil prices in most cases. Moreover, we find fiscal policy uncertainty and trade policy uncertainty are generally the recipients of risk spillover on most time scales, except that monetary policy uncertainty primarily serves as the risk transmitter. Lastly, the risk role of exchange rate policy uncertainty in China has the most frequent change among four kinds of EPU. This paper provides valuable policy implications for policymakers, investors and risk managers in the energy market.
      PubDate: 2022-04-15
       
  • Valuation of Standard Call Options Using the Euler–Maruyama Method
           with Strong Approximation

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      Abstract: Abstract The objective of this work is to valuate a European standard call option with different types of volatilities and a European exchange option based on the price of underlying assets through numerical experiments using the Euler–Maruyama stochastic numerical method with strong approximation. Different trajectories of Brownian motion are simulated with different time steps, different risk-free interest rates, different levels of volatility, different strikes or exercise price and different expiration times, assuming constant initial values for the different subjacent assets. The results obtained in the valuation of the options considered show that the proposed method presents very low mean squared errors compared to the valuation obtained from the reference methods: The Black–Scholes formula for an asset, Margrabe for two assets and the Euler–Maruyama scheme with weak approximation are analyzed for all the scenarios proposed. The strong Euler–Maruyama method becomes an attractive method for future research in terms of options valuation where there is no explicit formula. The results show that the proposed method can also be considered to value options, over one or more assets, since it produces a low mean square error in the analyzed scenarios.
      PubDate: 2022-04-13
       
  • Stock Price Formation: Precepts from a Multi-Agent Reinforcement Learning
           Model

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      Abstract: Abstract In the past, the bottom-up study of financial stock markets relied on first-generation multi-agent systems (MAS) , which employed zero-intelligence agents and often required the additional implementation of so-called noise traders to emulate price formation processes. Nowadays, thanks to the tools developed in cognitive science and machine learning, MAS can quantitatively gauge agent learning, a pivotal element for information and stock price estimation in finance. In our previous work, we therefore devised a new generation MAS stock market simulator , which implements two key features: firstly, each agent autonomously learns to perform price forecasting and stock trading via model-free reinforcement learning ; secondly, all agents ’ trading decisions feed a centralised double-auction limit order book, emulating price and volume microstructures. Here, we study which trading strategies (represented as reinforcement learning policies) the agents learn and the time-dependency of their heterogeneity. Our central result is that there are more ways to succeed in trading than to fail. More specifically, we find that : i- better-performing agents learn in time more diverse trading strategies than worse-performing ones, ii- they tend to employ a fundamentalist, rather than chartist, approach to asset price valuation, and iii- their transaction orders are less stringent (i.e. larger bids or lower asks).
      PubDate: 2022-04-10
       
  • Personal Finance Decisions with Untruthful Advisors: An Agent-Based Model

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      Abstract: Abstract Investors usually resort to financial advisors to improve their investment process until the point of complete delegation on investment decisions. Surely, financial advice is potentially a correcting factor in investment decisions but, in the past, the media and regulators blamed biased advisors for manipulating the expectations of naive investors. In order to give an analytic formulation of the problem, we present an Agent-Based Model formed by individual investors and a financial advisor. We parametrize the games by considering a compromise for the financial advisor (between a sufficient reward by bank and to keep her reputation), and a compromise for the customers (between the desired return and the proposed return by advisor), and incorporating the social psychological concepts of truthfulness and cognitive dissonance. Then we obtain the Nash equilibria and the best response functions of the resulting game. We also describe the parameter regions in which these points result acceptable equilibria. In this way, the greediness/naivety of the customers emerge naturally from the model. Finally, we focus on the efficiency of the best Nash equilibrium.
      PubDate: 2022-04-09
       
  • Incentives for Research Effort: An Evolutionary Model of Publication
           Markets with Double-Blind and Open Review

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      Abstract: Abstract Contemporary debates about scientific institutions and practice feature many proposed reforms. Most of these require increased efforts from scientists. But how do scientists’ incentives for effort interact' How can scientific institutions encourage scientists to invest effort in research' We explore these questions using a game-theoretic model of publication markets. We employ a base game between authors and reviewers, before assessing some of its tendencies by means of analysis and simulations. We compare how the effort expenditures of these groups interact in our model under a variety of settings, such as double-blind and open review systems. We make a number of findings, including that open review can increase the effort of authors in a range of circumstances and that these effects can manifest in a policy-relevant period of time. However, we find that open review’s impact on authors’ efforts is sensitive to the strength of several other influences.
      PubDate: 2022-04-08
       
  • Resilient Control for Macroeconomic Models

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      Abstract: Abstract This paper derives a macroeconomic resilient control framework that provides the optimal feedback fiscal and monetary policy responses in response to a potentially large negative external incident. We simulate the model for the U.S. under the conditions that prevailed throughout the 2020 economic crisis that occurred due to the government lockdown that was caused by the coronavirus pandemic. We develop a discrete-time soft-constrained linear-quadratic dynamic game under a worst-case design with multiple disturbances. Within this context, we introduce a resilience feedback response and compare the case where the policymakers counter in response the external incident with the case when they do not counter. This framework is especially applicable to large-scale macroeconomic tracking control models and wavelet-based control models when formulating the magnitudes of the policy changes necessary for the unemployment rate and national output variables to maintain acceptable tracking errors in the periods following a major disruption. Our policy recommendations include the maintenance of “rainy day” funds at appropriate levels of government to mitigate the effects of large adverse events.
      PubDate: 2022-04-02
       
 
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