Life testing of a firm: Some recent developments with application artificial neural networks ANN

Research output: Contribution to conferencePaperResearchpeer-review

Abstract

Financial experts are interested in the detection of a firm’s slide toward failure at an early stage. In this paper we have briefly reviewed the various techniques for the detection of "survival" or"failure" of the firms. These techniques consist of statistical techniques like legit and probit models,multiple discriminant analysis, multivariate CUSUM methods etc. Artificial Neural Network (ANN) techniques can play a crucial role in survival analysis and quite often they are found better than statistical techniques. We have also developed a new hybrid model. A case study dealing with real data will be presented. The models discussed in this paper can be used in bankruptcy prediction of the firms in Taiwan.
Original languageEnglish
Pages232-236
Number of pages5
Publication statusPublished - 2005
EventInternational Conference on Intelligent Technologies and Applied Statistics - Taipei, Taiwan, Province of China
Duration: 1 Jan 2005 → …

Conference

ConferenceInternational Conference on Intelligent Technologies and Applied Statistics
CountryTaiwan, Province of China
CityTaipei
Period1/01/05 → …

Fingerprint

Life Testing
Artificial Neural Network
Bankruptcy
Probit Model
Cumulative Sum
Survival Analysis
Taiwan
Hybrid Model
Discriminant Analysis
Business
Prediction

Cite this

Kumar, K. (2005). Life testing of a firm: Some recent developments with application artificial neural networks ANN. 232-236. Paper presented at International Conference on Intelligent Technologies and Applied Statistics , Taipei, Taiwan, Province of China.
Kumar, Kuldeep. / Life testing of a firm: Some recent developments with application artificial neural networks ANN. Paper presented at International Conference on Intelligent Technologies and Applied Statistics , Taipei, Taiwan, Province of China.5 p.
@conference{56ae922ccd344122ac0b851fef10fd19,
title = "Life testing of a firm: Some recent developments with application artificial neural networks ANN",
abstract = "Financial experts are interested in the detection of a firm’s slide toward failure at an early stage. In this paper we have briefly reviewed the various techniques for the detection of {"}survival{"} or{"}failure{"} of the firms. These techniques consist of statistical techniques like legit and probit models,multiple discriminant analysis, multivariate CUSUM methods etc. Artificial Neural Network (ANN) techniques can play a crucial role in survival analysis and quite often they are found better than statistical techniques. We have also developed a new hybrid model. A case study dealing with real data will be presented. The models discussed in this paper can be used in bankruptcy prediction of the firms in Taiwan.",
author = "Kuldeep Kumar",
year = "2005",
language = "English",
pages = "232--236",
note = "International Conference on Intelligent Technologies and Applied Statistics ; Conference date: 01-01-2005",

}

Kumar, K 2005, 'Life testing of a firm: Some recent developments with application artificial neural networks ANN' Paper presented at International Conference on Intelligent Technologies and Applied Statistics , Taipei, Taiwan, Province of China, 1/01/05, pp. 232-236.

Life testing of a firm: Some recent developments with application artificial neural networks ANN. / Kumar, Kuldeep.

2005. 232-236 Paper presented at International Conference on Intelligent Technologies and Applied Statistics , Taipei, Taiwan, Province of China.

Research output: Contribution to conferencePaperResearchpeer-review

TY - CONF

T1 - Life testing of a firm: Some recent developments with application artificial neural networks ANN

AU - Kumar, Kuldeep

PY - 2005

Y1 - 2005

N2 - Financial experts are interested in the detection of a firm’s slide toward failure at an early stage. In this paper we have briefly reviewed the various techniques for the detection of "survival" or"failure" of the firms. These techniques consist of statistical techniques like legit and probit models,multiple discriminant analysis, multivariate CUSUM methods etc. Artificial Neural Network (ANN) techniques can play a crucial role in survival analysis and quite often they are found better than statistical techniques. We have also developed a new hybrid model. A case study dealing with real data will be presented. The models discussed in this paper can be used in bankruptcy prediction of the firms in Taiwan.

AB - Financial experts are interested in the detection of a firm’s slide toward failure at an early stage. In this paper we have briefly reviewed the various techniques for the detection of "survival" or"failure" of the firms. These techniques consist of statistical techniques like legit and probit models,multiple discriminant analysis, multivariate CUSUM methods etc. Artificial Neural Network (ANN) techniques can play a crucial role in survival analysis and quite often they are found better than statistical techniques. We have also developed a new hybrid model. A case study dealing with real data will be presented. The models discussed in this paper can be used in bankruptcy prediction of the firms in Taiwan.

M3 - Paper

SP - 232

EP - 236

ER -

Kumar K. Life testing of a firm: Some recent developments with application artificial neural networks ANN. 2005. Paper presented at International Conference on Intelligent Technologies and Applied Statistics , Taipei, Taiwan, Province of China.