Subjects -> BUSINESS AND ECONOMICS (Total: 3530 journals)
    - ACCOUNTING (132 journals)
    - BANKING AND FINANCE (306 journals)
    - BUSINESS AND ECONOMICS (1229 journals)
    - CONSUMER EDUCATION AND PROTECTION (20 journals)
    - COOPERATIVES (4 journals)
    - ECONOMIC SCIENCES: GENERAL (201 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 (106 journals)
    - MICROECONOMICS (23 journals)
    - PRODUCTION OF GOODS AND SERVICES (143 journals)
    - PUBLIC FINANCE, TAXATION (37 journals)
    - TRADE AND INDUSTRIAL DIRECTORIES (2 journals)

INTERNATIONAL COMMERCE (145 journals)                     

Showing 1 - 136 of 136 Journals sorted by number of followers
Journal of Monetary Economics     Hybrid Journal   (Followers: 96)
Information Technologies & International Development     Open Access   (Followers: 82)
International Economic Review     Hybrid Journal   (Followers: 61)
International Labour Review     Partially Free   (Followers: 60)
Journal of International Business Studies     Hybrid Journal   (Followers: 48)
IMF Economic Review     Hybrid Journal   (Followers: 44)
Review of International Political Economy     Hybrid Journal   (Followers: 40)
Journal of International Money and Finance     Hybrid Journal   (Followers: 38)
Journal of International Economics     Hybrid Journal   (Followers: 38)
International Review of Social History     Full-text available via subscription   (Followers: 33)
Journal of International Development     Hybrid Journal   (Followers: 32)
International Review of Economics & Finance     Hybrid Journal   (Followers: 28)
International Review of Law and Economics     Hybrid Journal   (Followers: 27)
International Finance     Hybrid Journal   (Followers: 26)
PharmacoEconomics     Full-text available via subscription   (Followers: 26)
Journal of International Marketing     Full-text available via subscription   (Followers: 24)
Quarterly Journal of Political Science     Full-text available via subscription   (Followers: 19)
Journal of International Financial Markets, Institutions and Money     Hybrid Journal   (Followers: 19)
International Journal of Applied Behavioral Economics     Full-text available via subscription   (Followers: 19)
Journal of World Trade     Full-text available via subscription   (Followers: 19)
Human Resource Development International     Hybrid Journal   (Followers: 19)
Journal of International Trade Law and Policy     Hybrid Journal   (Followers: 19)
Career Development International     Hybrid Journal   (Followers: 18)
Human Resource Management International Digest     Hybrid Journal   (Followers: 18)
European Business Law Review     Full-text available via subscription   (Followers: 17)
African Journal of Economic and Sustainable Development     Hybrid Journal   (Followers: 17)
Journal of Contemporary European Research     Open Access   (Followers: 16)
Studies in Comparative International Development     Hybrid Journal   (Followers: 16)
International Labor and Working-Class History     Full-text available via subscription   (Followers: 15)
International Environmental Agreements: Politics, Law and Economics     Hybrid Journal   (Followers: 14)
Review of International Economics     Hybrid Journal   (Followers: 14)
International Marketing Review     Hybrid Journal   (Followers: 13)
Journal of International Trade & Economic Development: An International and Comparative Review     Hybrid Journal   (Followers: 12)
Advances in Accounting     Hybrid Journal   (Followers: 11)
International Small Business Journal     Hybrid Journal   (Followers: 11)
European Company Law     Full-text available via subscription   (Followers: 11)
Journal of International Entrepreneurship     Hybrid Journal   (Followers: 10)
International Review of Financial Analysis     Hybrid Journal   (Followers: 9)
International Business Review     Hybrid Journal   (Followers: 9)
World Competition     Full-text available via subscription   (Followers: 9)
Journal of the Association for Consumer Research     Full-text available via subscription   (Followers: 9)
International Review of Finance     Hybrid Journal   (Followers: 9)
Journal of International Consumer Marketing     Hybrid Journal   (Followers: 9)
International Studies of Management and Organization     Full-text available via subscription   (Followers: 9)
International Economic Journal     Hybrid Journal   (Followers: 8)
International Public Management Journal     Hybrid Journal   (Followers: 8)
Journal for International Business and Entrepreneurship Development     Hybrid Journal   (Followers: 8)
International Entrepreneurship and Management Journal     Hybrid Journal   (Followers: 8)
World Trade and Arbitration Materials     Full-text available via subscription   (Followers: 8)
Information Resources Management Journal     Full-text available via subscription   (Followers: 8)
Antitrust Bulletin     Hybrid Journal   (Followers: 8)
International Economics and Economic Policy     Hybrid Journal   (Followers: 7)
Competition and Regulation in Network Industries     Full-text available via subscription   (Followers: 7)
Emerging Markets Finance and Trade     Hybrid Journal   (Followers: 7)
Management International Review     Hybrid Journal   (Followers: 7)
International Advances in Economic Research     Hybrid Journal   (Followers: 6)
International Review of Applied Economics     Hybrid Journal   (Followers: 6)
Global Trade and Customs Journal     Full-text available via subscription   (Followers: 6)
South African Journal of International Affairs     Hybrid Journal   (Followers: 6)
TDM Transnational Dispute Management Journal     Full-text available via subscription   (Followers: 5)
Journal of International Management     Hybrid Journal   (Followers: 5)
EC Tax Review     Full-text available via subscription   (Followers: 5)
Journal of International Accounting, Auditing and Taxation     Hybrid Journal   (Followers: 5)
Intertax     Full-text available via subscription   (Followers: 4)
Journal of Chinese Human Resource Management     Hybrid Journal   (Followers: 4)
IN VIVO     Full-text available via subscription   (Followers: 4)
International Review of Economics     Hybrid Journal   (Followers: 4)
Journal of Revenue and Pricing Management     Hybrid Journal   (Followers: 4)
Journal of the Japanese and International Economies     Hybrid Journal   (Followers: 4)
Journal of International Financial Management & Accounting     Hybrid Journal   (Followers: 4)
International Insolvency Review     Hybrid Journal   (Followers: 4)
International Review of Retail, Distribution and Consumer Research     Hybrid Journal   (Followers: 3)
Monthly Statistics of International Trade - Statistiques mensuelles du commerce international     Full-text available via subscription   (Followers: 3)
Revue Internationale du Travail     Full-text available via subscription   (Followers: 3)
International Review on Public and Nonprofit Marketing     Hybrid Journal   (Followers: 3)
Syracuse Journal of International Law and Commerce     Open Access   (Followers: 3)
Management international / International Management / Gestiòn Internacional     Full-text available via subscription   (Followers: 3)
Digital Finance : Smart Data Analytics, Investment Innovation, and Financial Technology     Hybrid Journal   (Followers: 3)
World Food Policy     Hybrid Journal   (Followers: 3)
Foreign Trade Review     Hybrid Journal   (Followers: 3)
International Economics     Hybrid Journal   (Followers: 3)
European Journal of International Management     Hybrid Journal   (Followers: 3)
International Transactions In Operational Research     Hybrid Journal   (Followers: 2)
Asian Journal of Shipping and Logistics     Open Access   (Followers: 2)
China Business Review     Full-text available via subscription   (Followers: 2)
Journal of International Food & Agribusiness Marketing     Hybrid Journal   (Followers: 2)
Qualitative Research in Financial Markets     Hybrid Journal   (Followers: 2)
International Trade Journal : Western Hemispheric Studies     Hybrid Journal   (Followers: 2)
Journal of Chinese Economic and Foreign Trade Studies     Hybrid Journal   (Followers: 2)
MEED Middle East Economic Digest     Full-text available via subscription   (Followers: 1)
Global Summitry     Hybrid Journal   (Followers: 1)
International Journal of Export Marketing     Hybrid Journal   (Followers: 1)
Journal of Economics and International Finance     Open Access   (Followers: 1)
Estudos Internacionais : revista de relações internacionais da PUC Minas     Open Access   (Followers: 1)
Journal of Korea Trade     Full-text available via subscription   (Followers: 1)
Critical Perspectives on International Business     Hybrid Journal   (Followers: 1)
Acta Economica Et Turistica     Open Access   (Followers: 1)
Amnis     Open Access   (Followers: 1)
L'Année du Maghreb     Open Access   (Followers: 1)
International Commerce Review     Hybrid Journal   (Followers: 1)
Global & Strategis     Open Access   (Followers: 1)
Botswana Journal of Economics     Open Access   (Followers: 1)
Revue internationale P.M.E. : économie et gestion de la petite et moyenne entreprise     Full-text available via subscription   (Followers: 1)
Journal of Antitrust Enforcement     Hybrid Journal   (Followers: 1)
Economics Research International     Open Access   (Followers: 1)
Japanese Political Economy     Full-text available via subscription   (Followers: 1)
International Journal of Asian Business and Information Management     Full-text available via subscription   (Followers: 1)
Economic Journal of Emerging Markets     Open Access   (Followers: 1)
Asia and the Global Economy     Open Access  
China Economic Quarterly International     Open Access  
World Oil Trade     Hybrid Journal  
Regional Formation and Development Studies     Open Access  
Journal of Reviews on Global Economics     Open Access  
Journal of International Business Policy     Hybrid Journal  
East Asian Community Review     Hybrid Journal  
Ekonomia Międzynarodowa     Open Access  
Jurnal Ilmu Ekonomi Terapan     Open Access  
Jurnal Hubungan Internasional     Open Access  
Journal of Advanced Research in Economics and International Business     Full-text available via subscription  
Proceedings of the International Conference on Business Excellence     Open Access  
Journal of Accounting and Finance in Emerging Economies     Open Access  
International Journal of Governance and Financial Intermediation     Hybrid Journal  
South American Development Society Journal     Open Access  
Revista Multiface Online     Open Access  
Revue internationale de l'économie sociale     Full-text available via subscription  
Expert Journal of Business and Management     Open Access  
Transnational Corporations Review     Hybrid Journal  
Research World     Hybrid Journal  
Crossroads     Hybrid Journal  
Relações Internacionais (R:I)     Open Access  
Revista Brasileira de Gestão de Negócios     Open Access  
Journal of Theoretical and Applied Electronic Commerce Research     Open Access  
International Journal of Commerce and Management     Hybrid Journal  
EMAJ : Emerging Markets Journal     Open Access  
Journal of International Commerce, Economics and Policy     Hybrid Journal  
Journal of Comparative International Management     Full-text available via subscription  

           

Similar Journals
Journal Cover
Digital Finance : Smart Data Analytics, Investment Innovation, and Financial Technology
Number of Followers: 3  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Online) 2524-6186
Published by Springer-Verlag Homepage  [2469 journals]
  • Forecasting the term structure of commodities future prices using machine
           learning

    • Free pre-print version: Loading...

      Abstract: Abstract We consider the dynamic Nelson–Siegel and the Schwartz–Smith three-factor models for future price curves. We study the prediction of the 1-day ahead prices of the entire curve for each model, using two different approaches: ordinary least squares (OLS) and filtering. For the dynamic Nelson–Siegel, we test the random walk, VAR and models based on long short-term memory (LSTM), including a filtering approach using LSTM. For the Schwartz–Smith model, we use the equations given by no-arbitrage assumptions. We also test a model that tries to predict the prices directly from the curve, which we refer to as basic model. We exemplify our approach using Brent, WTI and Copper future prices. We show that the dynamic Nelson–Siegel was the best model for fitting the data, and that the LSTM and VAR methods under the OLS approach generated the best forecasts.
      PubDate: 2022-09-24
       
  • Reinforcement learning with intrinsic affinity for personalized prosperity
           management

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      Abstract: Abstract The purpose of applying reinforcement learning (RL) to portfolio management is commonly the maximization of profit. The extrinsic reward function used to learn an optimal strategy typically does not take into account any other preferences or constraints. We have developed a regularization method that ensures that strategies have global intrinsic affinities, i.e., different personalities may have preferences for certain asset classes which may change over time. We capitalize on these intrinsic policy affinities to make our RL model inherently interpretable. We demonstrate how RL agents can be trained to orchestrate such individual policies for particular personality profiles and still achieve high returns.
      PubDate: 2022-09-10
       
  • Persistence in daily returns of stocks with highest market capitalization
           in the Indian market

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      Abstract: Abstract The study in this paper emphasizes the presence of long memory or persistence observed in the Indian stock market. The analysis is performed on the daily returns of stocks with highest market capitalization listed in the national stock market index NIFTY. Empirically, persistence is quantified by the values obtained through calculating the Hurst exponent, H and further analysis like Detrended Fluctuation Analysis (DFA), Multifractal Detrended Fluctuation Analysis (MFDFA) and the multifractal spectrum analysis are carried out to determine the observed degree of fractality. Further, the observed multifractality present is analysed by plotting Hurst surfaces through Multiscale Multifractal Analysis (MMA). It is observed that the return series of the prices of stock with the highest market capitalization shows multifractal characteristics and indicates the presence of long-range dependence in the Indian stock market. The results of our analysis provide are statistically significant to contradict the validity of the Efficient Market Hypothesis (EMH) in Indian stock returns.
      PubDate: 2022-09-09
       
  • Discussion on: “Programmable money: next generation blockchain based
           conditional payments” by Ingo Weber and Mark Staples

    • Free pre-print version: Loading...

      PubDate: 2022-09-02
       
  • Discussion on: “Programmable money: next generation blockchain based
           conditional payments” by Ingo Weber and Mark Staples

    • Free pre-print version: Loading...

      PubDate: 2022-09-02
       
  • Discussion on: “Programmable money: next generation blockchain based
           conditional payments” by Ingo Weber and Mark Staples

    • Free pre-print version: Loading...

      PubDate: 2022-09-02
       
  • Rejoinder for the discussed paper “Programmable money: next-generation
           blockchain-based conditional payments”

    • Free pre-print version: Loading...

      PubDate: 2022-09-02
       
  • Discussion on: “Programmable money: next generation blockchain based
           conditional payments” by Ingo Weber and Mark Staples

    • Free pre-print version: Loading...

      PubDate: 2022-09-02
       
  • Discussion on: “Programmable money: next generation blockchain based
           conditional payments” by Ingo Weber and Mark Staples

    • Free pre-print version: Loading...

      PubDate: 2022-09-02
       
  • Discussion on: “Programmable money: next generation blockchain-based
           conditional payments” by Ingo Weber and Mark Staples

    • Free pre-print version: Loading...

      Abstract: Abstract My comment on Weber and Staples (Digit Financ, https://doi.org/10.1007/s42521-022-00064-8, 2022) elaborates an economic perspective of their “programmable money” proposal. While claims issued and tendered for goods and services resemble money, a number of issues must be resolved before this innovation is feasible as money in analog trade or digital finance. These include secondary tradability, permissioned access, standardization and transparency. Programmable money is an important step towards the implementation of contingent commodities in the sense of Arrow and Debreu (Econometrica, 22(3):265–290, 1954) and Debreu (1959).
      PubDate: 2022-09-02
       
  • Programmable money: next-generation blockchain-based conditional payments

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      Abstract: Abstract Conditional payments allow the transfer of money only when pre-defined rules hold. Example uses could include welfare payments, employee expenses, insurance payouts, or tied donations. Normally, conditions are checked manually in reimbursement or pre-approval/audit processes, either at accounts before funds are distributed, or using account records after distribution. Blockchain’s capabilities for smart contract and digital assets can be used to implement next-generation conditional payments, on a decentralized ledger. We conducted a project with an industry partner where we conceptualized, implemented, and evaluated a novel programmable money concept using blockchain. In the system, programmed policies are not attached to accounts, but instead to money itself. Policies here specify the conditions when money may be spent, and can be automatically checked by the money as it is spent. Policies can also define auxiliary actions to be taken as part of payment transactions, including side-payments. Policies can be dynamically added to and removed from money as it flows through an economy. These policies could be budget rules for tied funds, but could also enable new forms of “values-based money” that respect ethical or other rules which relate to societal values or social norms. We report on some of our experiences and insights regarding blockchain architecture, software engineering with blockchain, and blockchain-based programmable money. We also identify opportunities and open research questions in these areas.
      PubDate: 2022-09-02
       
  • The impact of corporate governance on the digitalization process:
           empirical evidence for the Romanian companies

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      Abstract: Abstract The aim of this paper is to investigate the impact of the quality of corporate governance and the level of digital investments. For this purpose, a sample of 66 Romanian nonfinancial companies listed on the Bucharest Stock Exchange (BSE) for the 2016–2020 period is used. The findings validate a positive relationship between the quality of corporate governance and the companies’ interest in digital matters, controlling for various other variables. More exactly, we find that a good quality of corporate governance (measured by the corporate governance score) determines more incentives for investing in digital technologies. In addition, the main patterns of the board structure (equilibrium between non-executive and executive members, independence of the members and presence of men within the board) are positively correlated with a high level of digital investments. Then, the presence of Nomination, Remuneration and Audit Committees together with a good and transparent dividend policy, as other patterns of corporate governance quality, are associated with a higher level of digitalization. Further, the more companies are publicly owned, the more inclined they are to digitalization. A successful governance is keen on investing in the IT department and continuously improving the programs, knowing the positive benefits will not seize to appear.
      PubDate: 2022-08-17
       
  • Predicting interest rate distributions using PCA & quantile
           regression

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      Abstract: Abstract Principal component analysis (PCA) is well established as a powerful statistical technique in the realm of yield curve modeling. PCA based term structure models typically provide accurate fit to observed yields and explain most of the cross-sectional variation of yields. Although principal components are building blocks of modern term structure models, the approach has been less explored for the purpose of risk modelling—such as Value-at-Risk and Expected Shortfall. Interest rate risk models are generally challenging to specify and estimate, due to the regime switching behavior of yields and yield volatilities. In this paper, we contribute to the literature by combining estimates of conditional principal component volatilities in a quantile regression (QREG) framework to infer distributional yield estimates. The proposed PCA-QREG model offers predictions that are of high accuracy for most maturities while retaining simplicity in application and interpretability.
      PubDate: 2022-08-16
       
  • Cryptocurrencies and stablecoins: a high-frequency analysis

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      Abstract: Abstract We analyze cryptoasset markets (cryptocurrencies and stablecoins) at high frequency. We investigate intraday patterns. We show that Tether plays a crucial role as a safe haven and/or store of value facilitating trading in cryptocurrencies without going through traditional currencies. Markets centered on cryptocurrencies and stablecoins play a primary role aggregating preference/technology shocks and heterogeneous opinions, instead markets centered on the US dollar play a marginal role on price formation.
      PubDate: 2022-08-08
       
  • Analysis of cryptocurrency connectedness based on network to transaction
           volume ratios

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      Abstract: Abstract Network to Transaction (NVT) ratio is a measure that describes the relationship between transaction volume and market capitalization, and that may serve as an indicator for the valuation of a cryptocurrency. We build a connectedness network connecting 39 cryptocurrencies based on mutual contributions to the variances of forecast errors for NVT ratios. We find that NVT connectedness is not related to market capitalization, as we have large and small cryptocurrencies by market cap that propagate large NVT shocks (e.g. Litecoin, Dogecoin, Bitcoin Cash(bch), OMG Network and Decentraland). The largest transmitter of NVT shocks is OMG Network, which receives little public attention. Cryptocurrencies relying on proof of stake as a consensus mechanism are the smallest receivers of NVT spillovers from other cryptocurrencies. These assets are also the least interconnected, which makes them attractive from a risk diversification point of view. This complements the energy efficiency of PoS compared with proof of work.
      PubDate: 2022-07-27
       
  • Is the future of bitcoin safe' A triangulation approach in the reality
           of BTC market through a sentiments analysis

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      Abstract: Abstract Bitcoin (BTC) prices are fluctuating continuously to the extremes. The Bitcoin market witnessed a crash during the second quarter of 2021 that was purely guided by the investors’ sentiments. Are the Bitcoin prices influenced only by market sentiments or do any factors influence them' In this paper, we applied a triangulation approach; mixed-methods research was used in which a qualitative study was complemented by a quantitative method. Both the qualitative and quantitative data of time periods 2016–2021 were examined to find whether the Bitcoin market prices are influenced by market sentiments. For analysing market sentiments, the posts and sentiments from 2016 to 2021 of an internet forum “Bitcointalk” were used. For strengthening the findings of qualitative analysis, we used quantitative data of the BTC market. We also used search data from Google Trends for providing further insights. Our research shows a crossmatch between quantitative trends on Bitcoin market prices and qualitative matrix of sentiments. We have also observed an artificial investment intention in the form of digital nudges playing the field of the Bitcoin market to boost investment.
      PubDate: 2022-06-15
      DOI: 10.1007/s42521-022-00052-y
       
  • Democratic (crypto-)currency issuance

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      Abstract: Abstract Can democratic currency issuance lead to welfare-optimal results/stable currency values' We explore (crypto-)currency issuance with flexible majority rules. With flexible majority rules, the vote-share needed to approve a particular currency issuance growth is increasing with this growth rate. By choosing suitable flexible majority rules, socially optimal growth rates can be achieved in simple settings. By adding a communication stage, in which agents can reveal their preferences for currency growth, the voting process can be ended in three rounds. With other procedures, one could even obtain the first-best solution in one voting round. Finally, we show that optimal money growth rates are realized if agents entering financial contracts anticipate ensuing inflation rates determined by these flexible majority rules.
      PubDate: 2022-06-08
      DOI: 10.1007/s42521-022-00051-z
       
  • Green FinTech: sustainability of Bitcoin

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      Abstract: Abstract The COVID-19 pandemic has corroborated environmental degradation and climate change as two important problems of the twenty-first century. To turn environmental challenges into opportunities, we need environmentally friendly, green financial technologies. This article aims to shed light on the studies within this field, by building a bridge between financial technology (FinTech) and cryptocurrencies. A cashless society is expected to be fostered as digital currencies become more widespread, which will result in the eventual replacement of notes and coins. When considered from this point of view, cryptocurrencies could be regarded as environmentally friendly. On the other hand, the large amount of energy consumed in the mining process of cryptocurrencies questions their environmental friendliness. Therefore, analyzing whether cryptocurrencies are environmentally friendly or not conducted in a holistic approach.
      PubDate: 2022-06-08
      DOI: 10.1007/s42521-022-00053-x
       
  • DeepVaR: a framework for portfolio risk assessment leveraging
           probabilistic deep neural networks

    • Free pre-print version: Loading...

      Abstract: Abstract Determining and minimizing risk exposure pose one of the biggest challenges in the financial industry as an environment with multiple factors that affect (non-)identified risks and the corresponding decisions. Various estimation metrics are utilized towards robust and efficient risk management frameworks, with the most prevalent among them being the Value at Risk (VaR). VaR is a valuable risk-assessment approach, which offers traders, investors, and financial institutions information regarding risk estimations and potential investment insights. VaR has been adopted by the financial industry for decades, but the generated predictions lack efficiency in times of economic turmoil such as the 2008 global financial crisis and the COVID-19 pandemic, which in turn affects the respective decisions. To address this challenge, a variety of well-established variations of VaR models are exploited by the financial community, including data-driven and data analytics models. In this context, this paper introduces a probabilistic deep learning approach, leveraging time-series forecasting techniques with high potential of monitoring the risk of a given portfolio in a quite efficient way. The proposed approach has been evaluated and compared to the most prominent methods of VaR calculation, yielding promising results for VaR 99% for forex-based portfolios.
      PubDate: 2022-04-13
      DOI: 10.1007/s42521-022-00050-0
       
  • Convolutional signature for sequential data

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      Abstract: Abstract Signature is an infinite graded sequence of statistics known to characterize geometric rough paths. While the use of the signature in machine learning is successful in low-dimensional cases, it suffers from the curse of dimensionality in high-dimensional cases, as the number of features in the truncated signature transform grows exponentially fast. With the idea of Convolutional Neural Network, we propose a novel neural network to address this problem. Our model reduces the number of features efficiently in a data-dependent way. Some empirical experiments including high-dimensional financial time series classification and natural language processing are provided to support our convolutional signature model.
      PubDate: 2022-04-04
      DOI: 10.1007/s42521-022-00049-7
       
 
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