Integrated and Proactive Balance Sheet Management

Overview
Objectives & Outline
Methodology
Participant Profile
Trainer

Overview

PROGRAMME DETAILS
DATE
~~19 July 2021~~ - Registration closed
TIME
9:00 AM – 1:00 PM
VENUE
Online Learning
Liquidity risk is fundamental to the management of every financial operation, whether in banking, investment or corporate business. This ground-breaking course will teach you the best proactive methods for measuring and managing generic ALM issues and liquidity risk in today’s turbulent market environment.
LEARNING LEVEL
Intermediate
PROGRAMME FEE
AICB MEMBER
MYR
1,200*
/ PAX
NON-MEMBER
MYR
1,500*
/ PAX
*Subject to 6% Service Tax
Register now
Objectives & Outline
LEARNING OBJECTIVES
By the end of the programme, participants will be able to:
Gain a comprehensive understanding of the liquidity risk dynamics, the process that is followed in the best organisations, market and funding liquidity, impact of credit risk, liquidity contingency planning, and its role in the general sustainability of the corporate balance sheet, be it in banking, investment management or business activities:
The role of ALM across businesses and the impact of credit risk deterioration on the state of liquidity
The challenges of building a successful framework for ALM and liquidity risk management: comparison between banking, investment management and corporate sustainability
ALM shortfall and the stress on liquidity needs and contingency planning
PROGRAMME OUTLINE
Back to Basics
Brief Introduction of ALM, Liquidity Management and Credit Risk Management

ALM Essence
Banking perspective: ALM & Capital Management
Key lessons learned from 2008 GFC, Asian Financial Crisis, and 2020 pandemic
Implication & examples of Basel 3 Liquidity Guidelines (LCR & NSFR)
Overview of Credit, Liquidity & Funding Risks (implication on BCBS’s IRRBB)
Examples of various scenarios of LCR and NSFR on bank’s liquidity and funding status including sticky deposits, FTP (and LTP) risk based pricing models
Stress testing, implication & guidelines
LCR in comparison to IRRBB 6 Scenarios & Impact on NII and EVE

Insurance / Pension Fund Perspectives: ALM and Portfolio Management
Funding shortfall management
Liquidity management on ensuring solvency
Inflation, FX risk and diversification

Corporate Perspective: ALM and Cash-Flow Management
Business cycles and business models
Diversification of products and services
Expenditure: capital expenditure, operating expenditure, stable vs. variable
Income, revenue streams, stable vs. variable, domestic vs. foreign
Loan commitments – off shore vs on shore, foreign denomination, etc.
Liquidity risk and impact on corporate credit ratings / worthiness
Methodology
Online lecture, including discussion throughout the day

Technical Requirements:
Desktop, notebook or tablet with camera, speaker and microphone
Internet access
Conference platform: Zoom
Participant Profile

Regulators, analysts, risk and banking professionals who need to better understand the liquidity risk management challenges and strategy within a bank
Trainer

Dr. Guan Seng Khoo
Dr. Guan Seng Khoo is a risk management specialist with over 20 years’ experience in the education, design and implementation of enterprise-wide risk management models, systems and processes. He was in charge of, and has implemented, enterprise risk management systems at five financial institutions - Temasek Holdings, Singapore; Alberta Investment Management Corporation, Canada; RHB Capital, Malaysia; CAI, Singapore and Standard Chartered Bank, Singapore, where he was Global Head and Managing Director, Group Risk Analytics. There, he headed a team that validated all global risk models for Basel and regulatory compliance and liaised with all financial regulators.

In other previous roles, Dr. Khoo designed and managed an algorithmic hedge fund at Man Investment Products (Man Group plc.) in the 1990s and was Head of Innovation (Strategy and Business Department) at the Singapore Exchange. He was also based in Chicago and Denver in 2001–2002 at American Bourses Corp (a spin off from Man Group plc), providing investment and trading analytics to clients trading on the electronic exchanges in North America and the Asia-Pacific region.
He holds a PhD in Physics from the National University of Singapore and did post-doctorate work in AI-based data mining in drug and materials design at Nagoya University and Molecular Simulations Inc (MSI) research centres at Caltech, Boston and Teijin-MSI in Tokyo. He has also published over 30 journal papers on financial engineering, AI applications in finance, Basel 2 risks and material science.

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