共查询到20条相似文献,搜索用时 15 毫秒
1.
Pantelis Longinidis Panagiotis Symeonidis 《International Journal of Intelligent Systems in Accounting, Finance & Management》2013,20(2):111-139
Dividend is the return that an investor receives when purchasing a company's shares. The decision to pay these dividends to shareholders concerns several other groups of people, such as financial managers, consulting firms, individual and institutional investors, government and monitoring authorities, and creditors, just to name a few. The prediction and modelling of this decision has received a significant amount of attention in the corporate finance literature. However, the methods used to study the aforementioned question are limited to the logistic regression method without any implementation of the advanced and expert methods of data mining. These methods have proven their superiority in other business‐related fields, such as marketing, production, accounting and auditing. In finance, bankruptcy prediction has the vast majority among data‐mining implementations, but to the best of the authors’ knowledge such an implementation does not exist in dividend payment prediction. This paper satisfies this gap in the literature and provides answers that help to understand the so‐called ‘dividend puzzle’. Specifically, this paper provides evidence supporting the hypothesis that data‐mining methods perform better in accuracy measures against the traditional methods used. The prediction of dividend policy determinants provides valuable benefits to all related parties, as they can manage, invest, consult and monitor the dividend policy in a more effective way. Copyright © 2013 John Wiley & Sons, Ltd. 相似文献
2.
Maurice Peat Stewart Jones 《International Journal of Intelligent Systems in Accounting, Finance & Management》2012,19(2):90-101
We demonstrate that the use of a neural network (NN) model to combine information from corporate financial statements and equity markets provides improved predictive estimates of the probability of corporate bankruptcy. Using performance measures, based on the receiver operating characteristic curve, the forecast combinations from the NN models are demonstrated to outperform the forecasts derived from a forecast combination generated using a logistic regression approach. This result provides support for the use of forecast combinations generated from NN models in the estimation of corporate bankruptcy probabilities as it outperforms the standard approach of forming a hybrid forecasting model which includes all the explanatory variables. Copyright © 2012 John Wiley & Sons, Ltd. 相似文献
3.
Bryan E. Denham 《Journal of Risk Research》2013,16(5):571-589
Drawing on data gathered in the 2006 Monitoring the Future study of American youth (n = 2489), this investigation offers a comparative analysis of ordinary least squares (OLS), ordinal and multinomial logistic regression models in examining the effects of multiple factors on perceptions of alcohol risk. The article addresses limitations of OLS models in risk analyses and demonstrates how scholars can avoid making statistical errors when positioning vague quantifiers as ordinal dependent measures. Substantively, the article finds differential effects for (1) sex, (2) perceived attitudes of peers toward alcohol consumption, (3) frequency of intoxication, (4) teacher efforts toward alcohol education, (5) frequency of communicating with friends, and (6) newspaper exposure, as determinants of alcohol risk perceptions. Through statistical results and visual displays, the article reveals how inferences made about these effects stand to vary depending on the regression method chosen. 相似文献
4.
This paper explores different specifications of conditional expectations. The most common specification, linear least squares, is contrasted with nonparametric techniques that make no assumptions about the distribution of the data. Nonparametric regression is successful in capturing some nonlinearities in financial data, in particular, asymmetric responses of security returns to the direction and magnitude of market returns. The technique is ideally suited for empirically modeling returns of securities that have complicated embedded options. The conditional mean and variance of the NYSE market return are also examined. Forecasts of market returns are not improved with the nonparametric techniques which suggests that linear conditional expectations are a reasonable approximation in conditional asset pricing research. However, the linear model produces a disturbing number of negative expected excess returns. My results also indicate that the relation between the conditional mean and variance depends on the specification of the conditional variance. Furthermore, a linear model relating mean to variance is rejected and these tests are not sensitive to the expectation generating mechanism nor the conditioning information. Rejections are driven by the distinct countercyclical variation in the ratio of the conditional mean to variance. 相似文献
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Support vector machines (SVM) have been extensively used for classification problems in many areas such as gene, text and image recognition. However, SVM have been rarely used to estimate the probability of default (PD) in credit risk. In this paper, we advocate the application of SVM, rather than the popular logistic regression (LR) method, for the estimation of both corporate and retail PD. Our results indicate that most of the time SVM outperforms LR in terms of classification accuracy for the corporate and retail segments. We propose a new wrapper feature selection based on maximizing the distance of the support vectors from the separating hyperplane and apply it to identify the main PD drivers. We used three datasets to test the PD estimation, containing (1) retail obligors from Germany, (2) corporate obligors from Eastern Europe, and (3) corporate obligors from Poland. Total assets, total liabilities, and sales are identified as frequent default drivers for the corporate datasets, whereas current account status and duration of the current account are frequent default drivers for the retail dataset. 相似文献
7.
Songul Cinaroglu 《International Journal of Intelligent Systems in Accounting, Finance & Management》2020,27(4):168-181
This study aims to compare the performances of logistic regression and random forest classifiers in a balanced oversampling procedure for the prediction of households that will face catastrophic out-of-pocket (OOP) health expenditure. Data were derived from the nationally representative household budget survey collected by the Turkish Statistical Institute for the year 2012. A total of 9,987 households returned valid surveys. The data set was highly imbalanced, and the percentage of households facing catastrophic OOP health expenditure was 0.14. Balanced oversampling was performed, and 30 artificial data sets were generated with sizes of 5% and 98% of the original data size. The balanced oversampled data set provided accurate predictions, and random forest exhibited superior performance in identifying households facing catastrophic OOP health expenditure (area under the receiver operating characteristic curve, AUC = 0.8765; classification accuracy, CA = 0.7936; sensitivity = 0.7765; specificity = 0.8552; F1 = 0.7797 ). 相似文献
8.
Paul S. Calem Stanley D. Longhofer 《The Journal of Real Estate Finance and Economics》2002,24(3):207-237
In this paper, we examine how statistical analysis is used to help conduct fair lending compliance examinations. We present a case study of an actual fair lending examination of a large mortgage lender, illustrating how statistical techniques are used to focus examiner efforts. Our case also highlights the limitations inherent in statistical analysis of discrimination. The study suggests that statistical analysis and the more-traditional comparative file reviews complement one another in the overall examination process, offsetting some of the limitations inherent in each. 相似文献
9.
Mahla Nikou Gholamreza Mansourfar Jamshid Bagherzadeh 《International Journal of Intelligent Systems in Accounting, Finance & Management》2019,26(4):164-174
Security indices are the main tools for evaluation of the status of financial markets. Moreover, a main part of the economy of any country is constituted of investment in stock markets. Therefore, investors could maximize the return of investment if it becomes possible to predict the future trend of stock market with appropriate methods. The nonlinearity and nonstationarity of financial series make their prediction complicated. This study seeks to evaluate the prediction power of machine‐learning models in a stock market. The data used in this study include the daily close price data of iShares MSCI United Kingdom exchange‐traded fund from January 2015 to June 2018. The prediction process is done through four models of machine‐learning algorithms. The results indicate that the deep learning method is better in prediction than the other methods, and the support vector regression method is in the next rank with respect to neural network and random forest methods with less error. 相似文献
10.
Bojuan B. Zhao Xiangliang Liang Wenke Zhao Delong Hou 《Scandinavian actuarial journal》2013,2013(5):383-402
The paper assesses sex-age-specific mortality rates of the four groups of people in China, the country, cities, towns, and counties, based on the mortality data from the China Population Statistics Yearbooks (1988–2009) using a newly proposed modified Lee–Carter model. The results show that in general, the expected age-specific mortality rates decrease over the years, and the decreasing speed increased in the past decade. During 2000–2008, the expected mortality rates decreased over the years for females of all ages and groups and males in cities, remained with no changes for males ages 13–36 in the country and towns, but increased for males ages 13–43 in counties. Predictions for 2009 are made based on the 2000–2008 data, and comparisons to the observed rates from an annual survey show that they match each other well except for males ages 13–43 in counties, whose mortality rates reached record highs around 2005, and bounced back to the level of 2000 in 2008 and was reduced a little further in 2009, benefiting from the promulgations and enforcements of some safety regulations by the government on construction and mining sites where most labors are from counties. The predicted age-specific mortality rates from the model are compared to the assumed rates in the China Life Insurance Mortality Table (2000–2003) promulgated by the China Insurance Regulatory Commission, and they show a great deal of similarity in terms of changing trends over the ages. 相似文献
11.
We examine the effect of sample design on estimation and inference for disparate treatment in binary logistic models used to assess for fair lending. Our Monte Carlo experiments provide information on how sample design affects efficiency (in terms of mean squared error) of estimation of the disparate treatment parameter and power of a test for statistical insignificance of this parameter. The sample design requires two decision levels: first, the degree of stratification of the loan applicants (Level I Decision) and secondly, given a Level I Decision, how to allocate the sample across strata (Level II Decision). We examine four Level I stratification strategies: no stratification (simple random sampling), exogenously stratifying loan cases by race, endogenously stratifying cases by loan outcome (denied or approved), and stratifying exogenously by race and endogenously by outcome. Then, we consider five Level II methods: proportional, balanced, and three designs based on applied studies. Our results strongly support the use of stratifying by both race and loan outcome coupled with a balanced sample design when interest is in estimation of, or testing for statistical significance of, the disparate treatment parameter. 相似文献
12.
谢家泉 《广东金融学院学报》2010,25(1)
以汽车贷款业务为例,在分析影响汽车贷款客户的个人信息特征基础上,构建Logistic回归模型对客户进行分级管理,以减少商业银行信贷风险。Logistic回归分析的结果表明:贷款人的综合情况由背景资料、贷款情况、财力情况、征信情况四个方面来衡量,其中财力情况更能体现贷款人的信息特征。模型的稳定性检验和返回检验表明该模型有效地区分了客户诚信与否,进而为管理者提供风险防范依据。 相似文献
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Liang Hong 《Scandinavian actuarial journal》2018,2018(5):404-411
Mossin’s theorem for deductible insurance given random initial wealth is re-examined. For a fair premium, it is shown that a necessary and sufficient condition, in the spirit of the Generalized Mossin Theorem for coinsurance, is impossible using the notion of expectation dependence. Next, it is established that for a fair premium, full insurance will be optimal for a risk-averse individual if the random loss and the random initial wealth are negative quadrant dependent, improving upon an extant result in the literature. In view of a set of examples given in this paper, such a sufficient condition cannot be obtained using the notion of expectation dependence. Finally, for an unfair premium, it is shown that partial insurance will always be optimal, irrespective of the risk preference of the individual as well as the dependence structure between the random loss and the random initial wealth. 相似文献
15.
The classification of clients is an essential matter in commercial banking, insurance companies, electrical corporations, communication business, etc. Those companies frequently classify their customers by means of the information provided by the so-called classifier. Motivated by the need to compare systems of classification, we introduce a new stochastic order which permits the comparison of classifiers. The stochastic order is analysed in detail, providing characterizations and properties as well as connections with other stochastic orders and other classification systems. Such an order is applied to compare some classifiers used by a Spanish commercial banking to analyse the key problem of customer churn, obtaining conclusive results by means of real databases. Namely, the optimal classifier among them in the new stochastic order is obtained. 相似文献
16.
Clara-Cecilie Günther Ingunn Fride Tvete Kjersti Aas Geir Inge Sandnes Ørnulf Borgan 《Scandinavian actuarial journal》2014,2014(1):58-71
Within a company's customer relationship management strategy, finding the customers most likely to leave is a central aspect. We present a dynamic modelling approach for predicting individual customers’ risk of leaving an insurance company. A logistic longitudinal regression model that incorporates time-dynamic explanatory variables and interactions is fitted to the data. As an intermediate step in the modelling procedure, we apply generalised additive models to identify non-linear relationships between the logit and the explanatory variables. Both out-of-sample and out-of-time prediction indicate that the model performs well in terms of identifying customers likely to leave the company each month. Our approach is general and may be applied to other industries as well. 相似文献
17.
基于央行发布的居民对下季度物价预期数据,构建净差额法、正态分布、均匀分布以及逻辑分布下的通货膨胀预期,实证检验不同分布下通胀预期的记忆性,并在此基础上研究北京、河北、江西、云南等四个省市之间记忆性差异及其微观原因.结果表明:当我国居民通胀预期服从均匀分布时,通胀预期有可能存在记忆性,并且具有\"长记忆\"特征.其中北京通胀预期记忆性最短,其次是河北和云南,江西通胀预期记忆性最长.这种通胀预期记忆性的差异来源于各省市居民对未来收入信心、金融参与程度以及人均收入等微观因素的差别. 相似文献
18.
Ian A. Glew 《新兴市场金融与贸易》2017,53(2):276-288
The Minsky (1992) model links inflation during economic expansion to the potential for subsequent reversal. This model was tested in the European economic region using logistic regression, which indicated inflation had the greatest contribution toward potential for crisis. Three equations included inflation with other selected macroeconomic indicators tracked by the World Bank. GDP growth, GDP/GNI ratio, and adoption of the Euro demonstrated positive effects. Predictions based on the chosen indicators suggest that the newer members of the European Union may be vulnerable to crisis following periods of high inflation; recent slowing of economic activity in Europe has actually improved the predicted outcomes. 相似文献
19.
Hussein A. Abdou Andzelika Kuzmic John Pointon Roger J. Lister 《International Journal of Intelligent Systems in Accounting, Finance & Management》2012,19(3):151-169
Firms need to rely on different financing sources, but the question is how capital structure is determined for a particular industry. Our aim is to undertake an investigation into the factors which determine capital structure in the UK retail industry. Our initial sample consists of 163 (final sample: 100) UK retail companies, using data from 2000 in order to analyse capital structure from 2002 to 2006. Nonlinear models tend to be unduly neglected in capital structure research, and so we apply generalized regression neural networks (GRNNs), which are compared with conventional multiple regressions. We utilize a hold‐out sample for the multiple regressions to make them comparable with the GRNNs. Stability of the data is also confirmed. Our main findings are: net profitability and the depreciation‐to‐sales ratio are key determinants of capital structure based on GRNNs, while two more variables are added in the multiple regressions, namely size and quick ratio; there is strong support for the pecking‐order theory; both root‐mean‐square errors and mean absolute errors are much lower for the GRNNs than those for the multiple regressions for overall, training and testing datasets. The potential benefit of this research to financial managers and investors in the UK retail sector is the identification of the overriding role of net profitability in reducing the financial risk from high levels of gearing. Copyright © 2012 John Wiley & Sons, Ltd. 相似文献
20.
Francisco Ortiz Arango Agustín I. Cabrera Llanos Francisco López Herrera 《Contaduría y Administración》2013,58(3):203-225
This paper uses a differential neural network (DNN) to describe the behavior of daily closing values of German DAX and USA S&P 500 stock indices between July 3, 2000 and January 13, 2012. Then, by the use of DNN a four-week forecast is performed of the daily closing values of these indices, from January 16 to February 10, 2012. The results obtained confirm that the differential neural networks can become one of the most powerful and accurate tools to predict future values of financial assets. 相似文献