Simulation
Chapter notes, video classes, MCQ practice tests and quick-revision one-liners for Advanced Bank Management — CAIIB.
One-liners from this chapter
Free sample — 8 of 66 rapid-fire Q&A cards.
What is simulation in the context of banking risk management?
Simulation is a technique that uses mathematical models to imitate real-world processes or systems over time, allowing banks to analyze risk scenarios without real-world consequences.
What is discrete event simulation used for in banking operations?
Modeling banking processes where events occur at distinct time points
What is Monte Carlo simulation and how is it used in banking?
Monte Carlo simulation uses random sampling and statistical modeling to estimate mathematical functions and mimic the operations of complex systems; banks use it to model credit risk, market risk, and portfolio outcomes.
What is the Monte Carlo simulation's minimum recommended number of trials for reliable VaR?
At least 10,000 trials for statistically reliable Value at Risk
What is the primary purpose of using simulation in bank management decisions?
Simulation helps bank managers evaluate the impact of various decisions and uncertainties on outcomes like portfolio returns, liquidity, and capital adequacy before implementing actual strategies.
What is the 'burn-in period' in simulation modeling?
Initial simulation phase discarded to eliminate transient effects
What does the term 'random number generation' mean in simulation?
Random number generation is the process of producing a sequence of numbers that lack any pattern, used in simulation to model the probabilistic behavior of variables such as interest rates or default rates.
What is a copula function in simulation of portfolio credit risk?
Mathematical function linking marginal distributions to model correlated defaults
Video classes for this chapter
More chapters in Module A - Statistics
Master the full ABM syllabus
Every chapter of Advanced Bank Management — videos, tests, notes and one-liner decks in one place.