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Pelizza, Michela; Schenk-Hoppé, Klaus Reiner - In: Journal of risk and financial management : JRFM 13 (2020) 2/31, pp. 1-14

regional level, and two haircut models to estimate the liquidation value. Compared to our findings, rating agencies such as …

Persistent link: https://www.econbiz.de/10012173855

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

Cross-country application of manufacturing failure models

Tomczak, Sebastian Klaudiusz; Staszkiewicz, Piotr - In: Journal of risk and financial management : JRFM 13 (2020) 2/34, pp. 1-10

The post-Altman models suffer from moral amortization. This paper asks whether models developed in one country can be applied in other economies. One of the characteristics of the prediction model is that a date drives the estimation. Thus, the estimated model based on one economy is not...

Persistent link: https://www.econbiz.de/10012173748

Corporate bankruptcy prediction model, a special focus on listed companies in Kenya

Ogachi, Daniel; Ndege, Richard; Gaturu, Peter; Zoltan, Zeman - In: Journal of risk and financial management : JRFM 13 (2020) 3/47, pp. 1-14

Predicting bankruptcy of companies has been a hot subject of focus for many economists. The rationale for developing … deep learning models for corporate bankruptcy forecasting using textual disclosures. The study constructed a comprehensive … study model for predicting bankruptcy based on listed companies in Kenya. The study population included all 64 listed …

Persistent link: https://www.econbiz.de/10012174130

Corporate financial distress of industry level listings in Vietnam

Duc Hong Vo; Binh Ninh Vo Pham; Chi Minh Ho; McAleer, … - In: Journal of risk and financial management : JRFM 12 (2019) 4/155, pp. 1-17

Any critical analysis of the corporate financial distress of listed firms in international exchange would be incomplete without a serious dissection at the industry level, because of the different levels of risks concerned. This paper considers the financial distress of listed firms at the...

Persistent link: https://www.econbiz.de/10012173012

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

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