Auditors' Going Concern Reporting in the Pre- and Post-Bankruptcy Law Eras: Chinese Affiliates of Big 4 versus Local Auditors ☆
آشنایی با موضوع
ورشکستگی حالت یک تاجر یا شرکتی تجاری است که از پرداخت بدهی‌های خود ناتوان شده و نمی‌تواند تعهدات خود را عملی کند. تعیین دلیل یا دلا‌یل دقیق ورشکستگی و مشکلات مالی در هر مورد خاص کار آسانی نیست. در اغلب موارد دلا‌یل متعددی با هم منجر به پدیده ورشکستگی می‌شوند. اما دلا‌یل اصلی ورشکستگی مشکلات مالی و اقتصادی است. در برخی موارد دلا‌یل ورشکستگی با آزمون صورتهای مالی و ثبتها مشخص می‌شود.
در این صفحه، تعداد 168 مقاله انگلیسی از ژورنال ها و مجلات معتبر پایگاه ساینس دایرکت (ScienceDirect) درباره موضوع ورشکستگی آرشیو شده است که شما می توانید مقالات مورد نظر خود را بر اساس سال انتشار، موضوع مقاله، وضعیت ترجمه و تعداد صفحات، انتخاب نموده و دانلود فرمایید.
در صورتی که مقاله لاتین مورد نظر شما تا کنون به زبان فارسی ترجمه نشده باشد، واحد ترجمه پایگاه ISI Articles با همکاری تنی چند از اساتید و مترجمان با سابقه، آمادگی دارد آن را در اسرع وقت و با کیفیت مطلوب برای شما ترجمه نماید.
در صورتی که مقاله لاتین مورد نظر شما تا کنون به زبان فارسی ترجمه نشده باشد، واحد ترجمه پایگاه ISI Articles با همکاری تنی چند از اساتید و مترجمان با سابقه، آمادگی دارد آن را در اسرع وقت و با کیفیت مطلوب برای شما ترجمه نماید.
Deuda bancaria versus deuda comercial y tiempo de resolución del concurso
Strategic bankruptcy: A stakeholder management perspective
Credibilistic multi-period portfolio optimization model with bankruptcy control and affine recourse
The impact of SME’s pre-bankruptcy financial distress on earnings management tools
Performance evaluation of bankruptcy prediction models: An orientation-free super-efficiency DEA-based framework
Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks
Impending Bankruptcy: Examining Cash Flow Pattern of Distress and Healthy Firms ☆
Personal bankruptcy law, debt portfolios, and entrepreneurship
AN INSURANCE MODEL FOR THE PROTECTION OF CORPORATIONS AGAINST THE BANKRUPTCY OF SUPPLIERS BY USING THE BLACK-SCHOLES-MERTON MODEL
Personal Bankruptcy in the Capital City Region and South Bohemian Region in the Czech Republic ☆
Geometric mean based boosting algorithm with over-sampling to resolve data imbalance problem for bankruptcy prediction
State bankruptcy laws and the responsiveness of credit card demand
Silencing the noise: Asbestos liabilities, accounting and strategic bankruptcy
Duration of bankruptcy proceedings and monetary policy effectiveness ☆
Causes and resolution of bankruptcy: The efficiency of the law
Bankruptcy Prediction Models: Can the Prediction Power of the Models be Improved by Using Dynamic Indicators? ☆
Are hazard models superior to traditional bankruptcy prediction approaches? A comprehensive test
Improving experimental studies about ensembles of classifiers for bankruptcy prediction and credit scoring
An improved boosting based on feature selection for corporate bankruptcy prediction
Scoring Functions and Bankruptcy Prediction Models – Case Study for Romanian Companies ☆
Financial performance evaluation and bankruptcy prediction (failure)1 ☆
Integrity of financial information as a determinant of the outcome of a bankruptcy procedure
Supply chain downsizing under bankruptcy: A robust optimization approach
A cross-country analysis of bank bankruptcy regimes ☆
AdaBoost based bankruptcy forecasting of Korean construction companies
Bankruptcy risk induced by career concerns of regulators ☆
A comparative study of classifier ensembles for bankruptcy prediction
Strategically Surviving Bankruptcy during a Global Financial Crisis: The Importance of Understanding Chapter 15 ☆
Bankruptcy prediction for Russian companies: Application of combined classifiers
Who gets credit after bankruptcy and why? An information channel
Beyond bankruptcy: Does the US bankruptcy code provide a fresh start to entrepreneurs?
A multi-industry bankruptcy prediction model using back-propagation neural network and multivariate discriminant analysis
Financial distress and bankruptcy prediction among listed companies using accounting, market and macroeconomic variables
Assessment of the Risk of the Project's Contractor Bankruptcy Using the Partial Least Squares Approach ☆
Application of hybrid case-based reasoning for enhanced performance in bankruptcy prediction
Clustering and visualization of bankruptcy trajectory using self-organizing map
Bankruptcy law and corporate investment decisions
Partial Least Square Discriminant Analysis for bankruptcy prediction
Default and bankruptcy in an entrepreneurial economy with incomplete markets
Alternative bankruptcy prediction models using option-pricing theory
Severe or gentle bankruptcy law: Which impact on investing and financing decisions?
Performance of corporate bankruptcy prediction models on imbalanced dataset: The effect of sampling methods
Personal bankruptcy prediction by mining credit card data
Early warning models against bankruptcy risk for Central European and Latin American enterprises
Comparative analysis of data mining methods for bankruptcy prediction
Do private equity owners increase risk of financial distress and bankruptcy? ☆
CART-based selection of bankruptcy predictors for the logit model
Stochastic Methods for Prediction of the Bankruptcy Risk of SMEs ☆
Logarithm Utility Maximization Portfolio Engineering with Bankruptcy Control: a Nonparametric Estimation Framework
Emulation and state-by-state variations in bankruptcy rates
A multi-agent-based decision support system for bankruptcy contagion effects
Hedge funds as liquidity providers: Evidence from the Lehman bankruptcy ⋆
A Statistical Model of Financial Risk Bankruptcy Applied for Romanian Manufacturing Industry ☆
Bankruptcy spillover effects on strategic alliance partners ⋆
Bankruptcy prediction models based on multinorm analysis: An alternative to accounting ratios
Mitigating bankruptcy propagation through contractual incentive schemes
A hybrid device for the solution of sampling bias problems in the forecasting of firms’ bankruptcy
Bankruptcy and product-market competition: Evidence from the airline industry ☆
Classifiers selection in ensembles using genetic algorithms for bankruptcy prediction