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Neural networks and betting strategies for tennis
Candila, Vincenzo; Palazzo, Lucio - In: Risks 8 (2020) 3, pp. 1-19
Recently, the interest of the academic literature on sports statistics has increased enormously. In such a framework, two of the most significant challenges are developing a model able to beat the existing approaches and, within a betting market framework, guarantee superior returns than the set...
Persistent link: https://www.econbiz.de/10013200601
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Forecasting Nigerian stock market returns using ARIMA and artificial neural network models
Isenahd, Godknows M.; Olubusoye, Olusanya E. - In: CBN Journal of Applied Statistics 05 (2014) 2, pp. 25-48
The study reports empirical evidence that artificial neural network based models are applicable to forecasting of stock … the artificial neural network based models outperformed the ARIMA based model in forecasting future developments of the … can be used as predictors for forecasting future values of the stock market returns given that the returns has memory of …
Persistent link: https://www.econbiz.de/10011518784
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From failure to corporate bankruptcy: A review
Lavratto, Nadine - In: Journal of Innovation and Entrepreneurship 2 (2013), pp. 1-15
Prior to being a simple concept, the entrepreneurial failure is a multidimensional phenomenon. To contribute to its comprehension, this paper proposes to develop a synthetic vision of failure in order to escape a behavioral and partial approach from the phenomenon while taking account of the...
Persistent link: https://www.econbiz.de/10011540244
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Predicting corporate bankruptcy: A cross-sectoral empirical study : the case of Greece
Arnis, Nikolaos - In: International Journal of Business and Economic Sciences … 11 (2018) 3, pp. 31-56
Purpose: Beginning from the assumption that accrual accounting is useful in ensuring the high performance of management systems, this article investigates explanatory factors concerning the level of accrual accounting adoption in municipalities on the Indonesia island of Java....
Persistent link: https://www.econbiz.de/10012622945
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Corporate bankruptcy prediction in Poland against the background of foreign experience
Prusak, Błażej - In: e-Finanse: Financial Internet Quarterly 15 (2019) 1, pp. 10-19
In highly developed countries, research in the field of bankruptcy risk prediction has been conducted for many years. For example, in the United States, which can be considered a pioneering country, the first publications appeared in the early twentieth century. In Poland, due to political and...
Persistent link: https://www.econbiz.de/10013466206
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Bankruptcy choice with endogenous financial constraints
Tamayo, Cesar E. - 2017
In this paper we study firm dynamics and industry equilibrium when firms under financial distress face a non-trivial choice between alternative bankruptcy procedures. Given limited commitment and asymmetric information, financial contracts specify default, renegotiation and reorganization...
Persistent link: https://www.econbiz.de/10011786433
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Are credit default swaps associated with higher corporate defaults?
Peristiani, Stavros; Savino, Vanessa - 2011
Are companies with traded credit default swap (CDS) positions on their debt more likely to default? Using a proportional hazard model of bankruptcy and Merton's contingent claims approach, we estimate the probability of default for US nonfinancial firms. Our analysis does not generally find a...
Persistent link: https://www.econbiz.de/10010287111
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The COVID-19 insolvency gap: First-round effects of policy responses on SMEs
Dörr, Julian Oliver; Murmann, Simona; Licht, Georg - 2021
COVID-19 placed a special role to fiscal policy in rescuing companies short of liquidity from insolvency. In the first months of the crisis, SMEs as the backbone of Europe's real economy benefited from large and mainly indiscriminate aid measures. Avoiding business failures in a whatever it...
Persistent link: https://www.econbiz.de/10012435799
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Identifying excessive credit growth and leverage
Alessi, Lucia; Detken, Carsten - 2014
This paper aims at providing policymakers with a set of early warning indicators helpful in guiding decisions on when to activate macroprudential tools targeting excessive credit growth and leverage. To robustly select the key indicators we apply the “Random Forest” method, which bootstraps...
Persistent link: https://www.econbiz.de/10011605768
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Tree-based approaches for understanding growth patterns in the European regions
Annoni, Paola; Rubianes, Angél Catalina - In: REGION 3 (2016) 2, pp. 23-45
The paper describes an empirical analysis to understand the main drivers of economic growth in the European Union (EU) regions in the past decade. The analysis maintains the traditional factors of growth used in the literature on regional growth - stage of development, population agglomeration,...
Persistent link: https://www.econbiz.de/10011617520