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Business closures and (re)openings in real-time using Google Places : proof of concept

Rigobon, Daniel E.; Duprey, Thibaut; Kotlicki, Artur; … - In: Journal of risk and financial management : JRFM 15 (2022) 4, pp. 1-10

We present a new estimation of business opening and closure rates using data from Google Places-the data set behind the Google Maps service. Our algorithm, through a bisection routine, counts the appearance and disappearance of "pins" that represent unique businesses. As a proof of concept, we...

Persistent link: https://www.econbiz.de/10013273105

Can entrepreneurs who experienced business closure bring their new start-up to a successful M&A?

Harel, Shai; Solodoha, Eliran; Rosenzweig, Stav - In: Journal of risk and financial management : JRFM 15 (2022) 9, pp. 1-17

Numerous technology start-ups end up shutting down their operations. The present study aims to answer the following research questions: can entrepreneurs who closed their previous ventures bring their new venture to a successful exit through M&A and to what extent does this positive outcome...

Persistent link: https://www.econbiz.de/10013397734

The impact of COVID-19 and its policy responses on local economy and health conditions

Gungoraydinoglu, Ali; Öztekin, Ilke; Öztekin, Özde - In: Journal of risk and financial management : JRFM 14 (2021) 6, pp. 1-27

US states have implemented lockdown measures to contain the COVID-19 pandemic. We assess the impact of state policy responses on local economic and health conditions, with the goal to shed light on marginal health benefits and economic costs associated with social distancing. We find that...

Persistent link: https://www.econbiz.de/10012587672

The role of board independence and ownership structure in improving the efficacy of corporate financial distress prediction model : evidence from India

Shetty, Shilpa H.; Vincent, Theresa Nithila - In: Journal of risk and financial management : JRFM 14 (2021) 7, pp. 1-13

measures. For this, sample data consisted of 82 companies that had filed for bankruptcy under the Insolvency and Bankruptcy … sample size was 164 companies. Data for five years immediately preceding the bankruptcy filing was collected for the sample …

Persistent link: https://www.econbiz.de/10012626240

Predicting insolvency of the construction companies in the creditworthiness assessment process : empirical evidence from Poland

Balina, Rafał; Idasz-Balina, Marta; Achsani, Noer Azam - In: Journal of risk and financial management : JRFM 14 (2021) 10, pp. 1-16

environment. That is why the problem of insolvency and bankruptcy prediction has been the subject of numerous studies focused on … effectively used in practice to analyze and signal the risk of insolvency and bankruptcy of a construction firms. Also, the …

Persistent link: https://www.econbiz.de/10012628749

Bankruptcy prediction using machine learning techniques

Shetty, Shekar; Musa, Mohamed; Brédart, Xavier - In: Journal of risk and financial management : JRFM 15 (2022) 1, pp. 1-10

), support vector machine (SVM), and a deep neural network to predict bankruptcy using easily obtainable financial data of 3728 …

Persistent link: https://www.econbiz.de/10012814176

Crypto exchanges and credit risk : modeling and forecasting the probability of closure

Fantazzini, Dean; Calabrese, Raffaella - In: Journal of risk and financial management : JRFM 14 (2021) 11, pp. 1-23

While there is increasing interest in crypto assets, the credit risk of these exchanges is still relatively unexplored. To fill this gap, we considered a unique dataset of 144 exchanges, active from the first quarter of 2018 to the first quarter of 2021. We analyzed the determinants surrounding...

Persistent link: https://www.econbiz.de/10012794905

The evolution of arrears among US households 1995-2013

Grant, Charles B. - In: Journal of risk and financial management : JRFM 14 (2021) 2/43, pp. 1-40

. Following bankruptcy reform, wealthier households under 50 reduced their arrears between 2004 and 2007. During the sub …

Persistent link: https://www.econbiz.de/10012417803

Bankruptcy prediction with the use of data envelopment analysis : an empirical study of Slovak businesses

Štefko, Róbert; Horváthová, Jarmila; Mokrišová, … - In: Journal of risk and financial management : JRFM 13 (2020) 9/212, pp. 1-15

The paper deals with methods of predicting bankruptcy of a business with the aim of choosing a prediction method which … will have exact results. Existing bankruptcy prediction models are a suitable tool for predicting the financial …

Persistent link: https://www.econbiz.de/10012384409

Support vector machine methods and artificial neural networks used for the development of bankruptcy prediction models and their comparison

Horák, Jakub; Vrbka, Jaromir; Suler, Petr - In: Journal of risk and financial management : JRFM 13 (2020) 3/60, pp. 1-15

Bankruptcy prediction is always a topical issue. The activities of all business entities are directly or indirectly … affected by various external and internal factors that may influence a company in insolvency and lead to bankruptcy. It is … to create a model for predicting potential bankruptcy of companies using suitable classification methods, namely Support …

Persistent link: https://www.econbiz.de/10012302458