Assessments of Creditworthiness of Crafts in Croatia

References

• Abdou, A., Husein, Pointon, John. “Credit Scoring, Statistical Techniques and Evaluation Criteria: A Review of the Literature,” Intelligent Systems in Accounting,Finance & Management, 18 no. 2-3 (2011): 59-88.
   Google Scholar
• Feldman, J., Ron. “Small Business Loans, Small Banks and a Big Change in Technology Called Credit Scoring,” The Region, September 1997.
   Google Scholar
• Hand, J., David, Sohn, S. Young., Kim, Yoonseong. “Optimal bipartite scorecards,” Expert Systems with Applications, 29 no. 3 (2005): 684-690.
   Google Scholar
• HOK - Croatian Chamber of Trades and Crafts, 2013. “Statistički pregled - obrtništvo u brojkama 2013,” www.hok.hr/content/.../obrtnistvo%20u%20brojkama%202013.pdf (accessed May 20, 2013).
   Google Scholar
• HOK - Croatian Chamber of Trades and Crafts, 2012. “Statistički pregled - obrtništvo u brojkama 2012,” www.hok.hr/content/.../file/obrtnistvo%20u%20brojkama%202012.pdf(accessed January 13, 2014).
   Google Scholar
• HOK - Croatian Chamber of Trades and Crafts, 2011. “Statistički pregled - obrtništvo u brojkama 2011,” www.hok.hr/content/download/.../obrtnistvo_u_brojkama_2011.pdf(accessed January 13, 2014).
   Google Scholar
• HOK - Croatian Chamber of Trades and Crafts, 2010. “Statistički pregled – obrtništvo u brojkama 2010,” http://www.hok.hr/statistika/obrtnistvo_u_brojkama (accessed January 13, 2014).
   Google Scholar
• HOK - Croatian Chamber of Trades and Crafts, 2009. “Statistički pregled – obrtništvo u brojkama 2009, “ http://www.hok.hr/statistika/obrtnistvo_u_brojkama (accessed January 13, 2014).
   Google Scholar
• HOK - Croatian Chamber of Trades and Crafts 2008. “Statistički pregled – obrtništvo u brojkama 2008, “ http://www.hok.hr/statistika/obrtnistvo_u_brojkama/(offset)/10 (accessed January 13, 2014).
   Google Scholar
• Kundid, Ana, Ercegovac, Roberto. “Credit rationing in financial distress: Croatia SMEs’ finance approach,” International Journal of Law and Management, 53 no. 1, (2011): 62 – 84.
   Google Scholar
• Lee, S., Tian, Chen, I. Fei. “A Two-Stage Hybrid Credit Scoring Model Using Artificial Neural Networks and Multivariate Adaptive Regression Splines,” Expert Systems with Application, 28 no. 4, (2005): 743-752.
   Google Scholar
• Leonard, J., Kevin. “The Development of Credit Scoring Quality Measures for Consumer Credit Applications,” International Journal of Quality & Reliability Management, 12 no. 4, (1993): 79-85.
   Google Scholar
• Liang, Qi. “Corporate Financial Distress Diagnosis in China: Empirical Analysis Using Credit Scoring Models,” Hitotsubashi Journal of Commerce and Management, 38 no. 1 (1993): 13-28.
   Google Scholar
• OG - Official Gazzette, 2007, No 68.
   Google Scholar
• OG - Official Gazzette, 2004, No177.
   Google Scholar
• OG - Official Gazzette, 1993, No111.
   Google Scholar
• Ong, S., Chorng, Huang, Jih-Jeng, Tzeng, Gwo-Hshiung. “Building Credit Scoring Models Using Genetic Programming,” Expert Systems with Applications, 29 no. 1, (2005): 41-47.
   Google Scholar
• Peek, Joe, Rosengren, S., Eric. “The Evolution of Bank Lending to Small Business, “ New England Economic Review, March-April (1998): 27-36.
   Google Scholar
• Siddiqi, Naeem. Creditrisk Scorecards: Developing and Implementing Intelligent Creditscoring. Hoboken, NJ: Wiley, 2006.
   Google Scholar
• Šušteršič, Maja, Mramor, Dušan, Župan Jure. “Consumer credit scoring models with limited data, “ Expert Systems with Applications, 36 no. 3 (2009): 4736-4744.
   Google Scholar
• Tape, G., Thomas. “Interpreting Diagnostic Tests. University of Nebraska Medical Center”,http://gim.unmc.edu/dxtests (Accessed August, 25 2013)
   Google Scholar
• Thonabauer, Günther, Nosslinger, Barbara. Guidlines on Credit Risk Management: Rating Models and Validation. Vienna: Oesterreichische Nationalbank (OeNB) and Austrian Financial Market Authority (FMA) (2004).
   Google Scholar