TRAINING CREDIT RISK MODELING

PELATIHAN CREDIT RISK MODELING

TRAINING CREDIT RISK MODELING

DESKRIPSI

Bank Risk Management: banking crisis, role of banks, balance sheet risk management, sources of risk, risk management process, Basel II regulation, credit risk components, credit risk management, financial products, credit derivatives, collateralized debt obligations.

MATERI

Credit scoring: introduction, scoring steps, score types, application scoring, behavioral scoring, performance window, characteristic analysis, expert-guided adjustments, linear weighting, least square regression, logistic regression, discriminant analysis, determine PD, setting cutoffs, scorecard scaling, power curve, scoring validation, stability report, delinquency report, scorecard accuracy, credit bureaus, business objective, limitations

Credit Rating: introduction, rating and scoring systems, rating terminology, rating system process, rating philosophy, external rating agencies, rating system at banks, application and use of ratings, limitations
Risk modeling and measurement: introduction, determining loss due to default/downgrade, estimating PD / LGD / EAD, LossCalc, amortization vs diffusion effect
KMV EDF Credit Monitor: introduction, measuring probability of default, loss given default, distance to default, Merton model, implied asset value volatility, expected default frequency (EDF)
Portfolio model for credit risk: introduction, measure of portfolio risk, concentration and correlation, credit loss distribution, covariance credit portfolio model using beta distribution, Basel II portfolio model, coherent risk measure, expected shortfall, stress test
JP Morgan CreditMetrics: introduction, credit rating transition matrix, spread curve, present value revaluation, incorporating default correlation, usage of Monte Carlo simulation;

Credit Suisse CreditRisk+: introduction, CreditRisk+ framework, building block in CreditRisk+, CreditRisk+ loss distribution;

Monte Carlo simulation: introduction, random generator, probability distribution, Cholesky decomposition, define assumptions, determine forecast variables, calculate credit loss distribution using default mode model, Credit VaR vs expected shortfall;

PESERTA

Marketing Credit Officer
Credit Analys
Risk Managemet
Fund/ Invesment Manager
Auditor
Bond Dealer, dan
Bagian Kredit

Metode :

Kelas interaktif (ceramah dan studi kasus), metode penyelenggaraan dapat dilakukan melalui training online, training zoom ataupun training tatap muka

Jadwal Training :

Batch 1 : 23 – 24 Januari 2022
Batch 2 : 23 – 24 Februari 2022
Batch 3 : 8 – 9 Maret 2022
Batch 4 : 12 – 13 April 2022
Batch 5 : 18 – 19 Mei 2022
Batch 6 : 7 – 8 Juni 2022
Batch 7 : 27 – 28 Juli 2022
Batch 8 : 23 – 24 Agustus 2022
Batch 9 : 13 – 14 September 2022
Batch 10 : 11 – 12 Oktober 2022
Batch 11 : 9 – 10 November 2022
Batch 12 : 6 – 7 Desember 2022

Jadwal tersebut dapat disesuaikan dengan kebutuhan calon peserta

Lokasi Pelatihan :

  • Yogyakarta, Hotel Dafam Malioboro (7.250.000 IDR / participant)
  • Jakarta, Hotel Amaris Tendean (7.750.000 IDR / participant)
  • Bandung, Hotel Golden Flower (7.750.000 IDR / participant)
  • Bali, Hotel Ibis Kuta (8.500.000 IDR / participant)
  • Lombok, Hotel Jayakarta (8.750.000 IDR / participant)

Investasi Pelatihan :

Investasi pelatihan selama tiga hari tersebut menyesuaikan dengan jumlah peserta (on call). *Please feel free to contact us.

Apabila perusahaan membutuhkan paket in house training, anggaran investasi pelatihan dapat menyesuaikan dengan anggaran perusahaan.

Fasilitas Pelatihan

untuk Paket Group (Minimal 2 orang peserta dari perusahaan yang sama):

  • FREE Airport pickup service (Gratis Antar jemput Hotel/Bandara)
  • FREE Transportasi Peserta ke tempat pelatihan .
  • Module / Handout
  • FREE Flashdisk
  • Sertifikat
  • FREE Bag or bagpackers (Tas Training)
  • Training Kit (Dokumentasi photo, Blocknote, ATK, etc)
  • 2xCoffe Break & 1 Lunch, Dinner
  • FREE Souvenir Exclusive

Jadwal Pelatihan masih dapat berubah, mohon untuk tidak booking transportasi dan akomodasi sebelum mendapat konfirmasi dari Marketing kami. Segala kerugian yang disebabkan oleh miskomunikasi jadwal tidak mendapatkan kompensasi apapun dari kami.

 

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