
Here I explain how this course offers an unbelievable Return on Investments. This is not a theoretical course like thousands available online for Basel 3. I have spent years in designing this course in MS Excel through my over 10 years of risk management consulting experience across several Investment Banks in Basel 3 and Capital Optimisation. When you take this course, you will feel, you are sitting in a bank's risk management desk as it's outlined in a way exactly resembles how banks analyse real data from their front office system. I always assume when training in banks, audience have no previous background of Basel 3 or capital management, so students don't need any previous background (only basic excel knowledge is needed). Post this course, you can easily get a great job in Risk/Capital management within any top IB's or Commercial banks. Even if you don't want a career in Risk/Capital management, you would know in great depth about the hottest topic in banking industry. Happy learning!
We start with an example of a highly leveraged bank's b/s and derive RWA and Basel 3 key ratios [Tier 1 capital, Leverage ratio, etc]. We simulate the bank's lending book in Excel to see how a default in loans wipes out the shareholder's equity of the highly leverage bank, thus correlating with exactly what happened in 2008 financial crisis, which led to evolution of Basel 3. We see the bigger picture of Basel 3 capital calculation for Credit Risk (covered in this lecture for product derivatives) and other risk areas like Market Risk and Operational Risk (will be covered in future courses) and the total capital requirements which is minimum 8%. Everything is simulated in Excel, so learn and understand by doing at the same time. Happy learning!
We start with an example of a highly leveraged bank's b/s and derive RWA and Basel 3 key ratios [Tier 1 capital, Leverage ratio, etc]. We simulate the bank's lending book in Excel to see how a default in loans wipes out the shareholder's equity of the highly leverage bank, thus correlating with exactly what happened in 2008 financial crisis, which led to evolution of Basel 3. We see the bigger picture of Basel 3 capital calculation for Credit Risk (covered in this lecture for product derivatives) and other risk areas like Market Risk and Operational Risk (will be covered in future courses) and the total capital requirements which is minimum 8%. Everything is simulated in Excel, so learn and understand by doing at the same time. Happy learning!
We start with an example of a highly leveraged bank's b/s and derive RWA and Basel 3 key ratios [Tier 1 capital, Leverage ratio, etc]. We simulate the bank's lending book in Excel to see how a default in loans wipes out the shareholder's equity of the highly leverage bank, thus correlating with exactly what happened in 2008 financial crisis, which led to evolution of Basel 3. We see the bigger picture of Basel 3 capital calculation for Credit Risk (covered in this lecture for product derivatives) and other risk areas like Market Risk and Operational Risk (will be covered in future courses) and the total capital requirements which is minimum 8%. Everything is simulated in Excel, so learn and understand by doing at the same time. Happy learning!
Before we dig deep into capital calculations for Derivatives, we look at the concept of netting and collateral briefly under 3 categories which we will elaborate more in future lectures. The 3 categories are:
a) No netting, no collateral (no ISDA agreement, no CSA agreement)
b) Netting, without collateral (with ISDA agreement, no CSA agreement)
c) Netting with Collateral (With both ISDA & CSA agreement)
Before we dig deep into capital calculations for Derivatives, we look at the concept of netting and collateral briefly under 3 categories which we will elaborate more in future lectures. The 3 categories are:
a) No netting, no collateral. We briefly touch on Gross EAD (Exposure at Default) briefly in this lecture.
b) Netting, without collateral
c) Netting with Collateral
Learn, understand & simulate in Excel- Derivative capital calculation (no netting, no collateral) by understanding all components what makes Exposure at Default( EAD): Notional Amount, Mark to market, Gross/Net EAD, Gross PFE (Potential future exposure), Incurred CVA (Credit Value Adjustment), Risk weighted Assets (RWA) & Capital impact under Standardised (STND) Approach- To calculate the risk weight, a look up table is used which is based on counterparty exposure class [ Sovereign, Institutions, Corporates] and their external rating given by rating agencies like Moody's, S&P, Fitch.
Learn, understand & simulate in Excel- Derivative capital calculation (no netting, no collateral) by understanding all components what makes Exposure at Default( EAD): Notional Amount, Mark to market, Gross/Net EAD, Gross PFE (Potential future exposure), Incurred CVA (Credit Value Adjustment), Risk weighted Assets (RWA) & Capital impact under Standardised (STND) Approach- To calculate the risk weight, a look up table is used which is based on counterparty exposure class [ Sovereign, Institutions, Corporates] and their external rating given by rating agencies like Moody's, S&P, Fitch.
Learn, understand & simulate in Excel- Derivative capital calculation by understanding all components what makes Exposure at Default( EAD): Notional Amount, Mark to market, Gross/Net EAD, Gross PFE (Potential future exposure), Incurred CVA (Credit Value Adjustment), Risk weighted Assets (RWA) & Capital impact under Internal Rating Based Approach- Derive risk weights of counterparty through variables like Probability of Default (PD), Loss Given Default (LGD), Weighted average maturity (WAM). Most importantly understand these concepts.
A tabular STND vs IRB methodology variance analysis of all key indicators which are used in Derivative Capital calculation under Basel 3 for the category: No netting, no collateral.
A brief introduction of capital calculation for the category: Netting, but no collateral. In this scenario, banks can net their assets (receivables, positive market value) with liabilities (payables, negative market value) with the same counterparty. A new netting set calculation assessing various indicators-Net EAD, Net PFE, Weighted average maturity will be introduced. Rest of the criteria for calculating variables discussed above through STND and IRB methodology remains same.
Learn, understand & simulate in Excel- Derivative capital calculation (netting, no collateral) by understanding all components what makes Exposure at Default( EAD): Notional Amount, Mark to market, Gross/Net EAD, Gross PFE (Potential future exposure), Incurred CVA (Credit Value Adjustment), Risk weighted Assets (RWA) & Capital impact under Standardised (STND) Approach- To calculate the risk weight, a look up table is used which is based on counterparty exposure class [ Sovereign, Institutions, Corporates] and their external rating given by rating agencies like Moody's, S&P, Fitch.: Netting, but no collateral. In this scenario, banks can net their assets (receivables, positive market value) with liabilities (payables, negative market value) with the same counterparty. A new netting set calculation assessing various indicators-Net EAD, Net PFE, Weighted average maturity will be introduced. Rest of the criteria for calculating variables discussed above through STND and IRB methodology remains same.
Learn, understand & simulate in Excel- Derivative capital calculation (netting, no collateral) by understanding all components what makes Exposure at Default( EAD): Notional Amount, Mark to market, Gross/Net EAD, Gross PFE (Potential future exposure), Incurred CVA (Credit Value Adjustment), Risk weighted Assets (RWA) & Capital impact under Internal Rating Based Approach- Derive risk weights of counterparty through variables like Probability of Default (PD), Loss Given Default (LGD), Weighted average maturity (WAM). Most importantly understand these concepts.
Netting, but no collateral. In this scenario, banks can net their assets (receivables, positive market value) with liabilities (payables, negative market value) with the same counterparty. A new netting set calculation assessing various indicators-Net EAD, Net PFE, Weighted average maturity will be introduced. Rest of the criteria for calculating variables discussed above through STND and IRB methodology remains same.
Netting, with collateral. In this scenario, banks can net their assets (receivables, positive market value) with liabilities (payables, negative market value) with the same counterparty and also receive cash collateral (margin) to further mitigate their credit exposure. This is the best agreement in terms of capital optimisation. Rest of the criteria for calculating variables discussed above through STND and IRB methodology remains same.
In this lecture, we summarise everything on derivatives capital calculations which we covered in previous lectures and enter the world of capital optimisation which is by far the most important and challenging task most banks are facing today. There are usually 2 ways to optimise capital. a) To issue new shareholder's equity (IPO's, new issuance): This is a very expensive method and involves significant costs for banks (underwriting fee, prospectus, etc), b) Reduce RWA: Challenging and needs expertise: We will look at this strategy in detail in this lecture. Happy learning!
We continue in this lecture and discuss various capital optimisation strategies which is by far the biggest challenge facing banks where Sales & Trading revenues have dried up due to low interest rate environment.
Learn how IRB risk weight is modelled using Merton and Vasicek model using a asymptotic single risk factor model. Simulate PD, LGD, weighted average maturity to understand this derivation. Also understand and derive how Basel simulate correlation with PD. Derive Unexpected loss (UL) in a normal distribution by calculating a conditional Expected Loss (EL) at confidence interval of 99.9% (probability) less the EL (average loss which is already priced in products). This UL is supposed to be held in capital for losses which exceeds EL (similar to what happened in financial crisis of 2008).
Learn how IRB risk weight is modelled using Merton and Vasicek model using a asymptotic single risk factor model. Simulate PD, LGD, weighted average maturity to understand this derivation. Also understand and derive how Basel simulate correlation with PD. Derive Unexpected loss (UL) in a normal distribution by calculating a conditional Expected Loss (EL) at confidence interval of 99.9% (probability) less the EL (average loss which is already priced in products). This UL is supposed to be held in capital for losses which exceeds EL (similar to what happened in financial crisis of 2008).
This course offers an unbelievable Return on Investments. This is not a theoretical course like thousands available online for Basel 3. I have spent years in designing this course in MS Excel (Excel sheet provided as part of this course for conceptual understanding, doing simulations and scenario analysis) through my over 10 years of risk management consulting experience across several Investment Banks in Basel 3 and Capital Optimisation. When you take this course, you will feel, you are sitting in a bank's risk management desk as it's outlined in a way exactly resembles how banks analyse real data from their front office system.
Learn, understand & simulate in Excel- Derivative capital calculation by understanding all components what makes Exposure at Default( EAD): Notional Amount, Mark to market, Gross/Net EAD, Gross/Net PFE (Potential future exposure), Incurred CVA (Credit Value Adjustment), Risk weighted Assets (RWA) & Capital impact under Standardised (STND) Approach used by 50% of banks - A look up table which is based on counterparty exposure class [ Sovereign, Institutions, Corporates] and their external rating given by rating agencies like Moody's, S&P, Fitch and Internal.
Also calculate Risk weighted Assets (RWA) & Capital impact under more advanced Internal Rating Based (IRB) Approach used by remaining 50% of big banks which needs Regulator's approval - Derive risk weights of counterparty through variables like Probability of Default (PD), Loss Given Default (LGD), Weighted average maturity (WAM). Most importantly understand these concepts.
We will also take a deep dive into various capital optimisation strategies of reducing RWA and improving capital ratios. My expertise include capital management, which i will share details with you which is currently used in most banks and will be the most important KPI for all big banks in future.
As a part of Premium lectures, enter into advanced risk modelling concepts where we derive internal rating risk weights in excel for all counterparties with given PD, LGD, correlation, weighted maturity by using Merton & Vasicek model for credit risk. I will take you step by step and make everything absolutely easy to understand, so you can explain it to others!.
I always assume when training in banks, audience have no previous background of Basel 3 or capital management, so students don't need any previous background (only basic excel knowledge is needed). Post this course, you can easily get a great job in Risk/Capital management within any top IB's or Commercial banks. Even if you don't want a career in Risk/Capital management, you would know in great depth about the hottest topic in banking industry. Happy learning!