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Abstrak :
Penelitian ini membahas mengenai faktor-faktor yang memengaruhi akses ke jasa keuangan usaha mikro, kecil, dan menengah (UMKM) di Indonesia. Penelitian ini menggunakan data sekunder dari World Bank Enterprise Survey dan melibatkan 881 UMKM dari sembilan provinsi di Indonesia sebagai sampel penelitian. Pengujian hipotesis dilakukan dalam menentukan determinan kesuksesan perolehan pinjaman menggunakan metode regresi logistik biner data cross-section. Hasil penelitian menunjukkan bahwa penyertaan laporan keuangan, pemberian jaminan, usia usaha, penjualan usaha, dan jenis kepemilikan usaha secara signifikan mampu memengaruhi akses ke jasa keuangan UMKM di Indonesia. Penelitian ini juga mendiskusikan implikasi dari hasi penelitian baik bagi pembuat kebijakan, pelaku industri, dan akademisi......This study discusses several factors that affect the access to finance among micro, small, and medium-sized enterprises (MSMEs) in Indonesia. The study utilizes secondary data from World Bank Enterprise Survey and involved 881 MSMEs from nine provinces in Indonesia as the research sample. The hypothesis testing regarding the determinants of obtaining access to external finance is carried out using the binary logistic regression and cross section data. The results of this study indicate that the financial statements lending, the provision of collateral, firm age, firm revenues, and firm ownership significantly influence access to external finance of Indonesian MSMEs. This study also discusses the implications of the results both for policy makers, industry players, and academics.

Abstrak :
The increasing complexity of financial problems and the enormous volume of financial data often make it difficult to apply traditional modeling and algorithmic procedures. In this context, the field of computational intelligence provides an arsenal of particularly useful techniques. These techniques include new modeling tools for decision making under risk and uncertainty, data mining techniques for analyzing complex data bases, and powerful algorithms for complex optimization problems. Computational intelligence has also evolved rapidly over the past few years and it is now one of the most active fields in operations research and computer science. This volume presents the recent advances of the use of computation intelligence in financial decision making. The book covers all the major areas of computational intelligence and a wide range of problems in finance, such as portfolio optimization, credit risk analysis, asset valuation, financial forecasting, and trading.