Tags » Operational Risk

Major Risks in Banking

প্রতিটা ব্যাংক তাদের দৈ্নন্দিক কার্যক্ষেত্রে বিভিন্ন ধরনের ঝুকি বা Risk এর সম্মুখীন হয়ে থাকে। এই ঝুকি ব্যাবস্থাপনা ব্যাংকের জন্য একটা বড় চ্যালেঞ্জ হতে পাড়ে। কখনো কখনো এ ধরনের ঝুকি ব্যাংকের/আর্থিক প্রতিষ্ঠানের জন্য বড় ক্ষতির কারনও হতে পারে। তাই একজন সফল ব্যাংকার হতে হলে ব্যাংকিং এ কি কি ঝুকি আসতে পারে তার সম্পর্কে সম্মুখ ধারনা থাকতে হবে এবং তা মোকাবিলা করার কৌশল ও জানতে হবে। তাই আসুন জেনে নিই সম্ভাব্য সে ঝুকিগুলো সম্পর্কে। 69 more words

Bank Interview

Modeling Dollar Amounts in Regression Setting

After switching the role from the credit risk to the operational risk in 2015, I spent countless weekend hours in the Starbucks researching on how to model operational losses in the regression setting in light of the heightened scrutiny. 557 more words

Statistical Models

Estimating Parameters of A Hyper-Poisson Distribution in SAS

Similar to COM-Poisson, Double-Poisson, and Generalized Poisson distributions discussed in my previous post (https://statcompute.wordpress.com/2016/11/27/more-about-flexible-frequency-models/), the Hyper-Poisson distribution is another extension of the standard Poisson and is able to accommodate both under-dispersion and over-dispersion that are common in real-world problems. 247 more words

Statistical Models

Adverse Consequences of Money Laundering: The Risk Tetralogy

The adverse consequences of money laundering are generally described as reputational, operational, legal and concentration risks. They are interrelated, and each has financial consequences.

Money Laundering

Keeping skills current: Online learning with SS&C Learning Institute

By Adam Hall

As the world’s financial markets grow increasingly sophisticated, it can be difficult to stay current with the latest trends and developments. Today’s financial professionals are expected to possess a broad understanding of an ever-widening array of products and services. 297 more words


Model Non-Negative Numeric Outcomes with Zeros

As mentioned in the previous post (https://statcompute.wordpress.com/2017/06/29/model-operational-loss-directly-with-tweedie-glm/), we often need to model non-negative numeric outcomes with zeros in the operational loss model development. Tweedie GLM provides a convenient interface to model non-negative losses directly by assuming that aggregated losses are the Poisson sum of Gamma outcomes, which however might not be well supported empirically from the data generation standpoint. 769 more words

Statistical Models

Evolution of Banking - 2

Labor as a commodity

The introduction of money resulted in increase in commercial activities, this was primarily driven by the origination of the demand and supply mechanism.   511 more words

Operational Risk