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Bonds and Fixed Income Workshop Series by Tariq Dennison

Event Description


​(Please apply promo code BFIWS2018 for payment of 2 and more modules via the registration portal)

Bonds and Fixed Income Workshop Series

17 September to 19 September 2018, 

Monday to Wednesday (9.00am to 5.00pm)

Trainer: Tariq Dennison

​This workshop is eligible for 7 ​CE and CPD hours​ per day per module


This course is a modular 3-day introduction to how trade bonds, evaluate interest rate and credit risk, and how to build and manage a profitable bond portfolio.
Day 1 begins with the basics of how bonds are quoted and traded, and the use of yield curve models.
Day 2 introduces how to put bonds together into managed portfolios, how to hedge using futures and swaps (including cross-currency), and the basics of fixed income risk management.
Day 3 focuses on Credit Risk, Options, Yield Enhancement and other advanced topics in fixed income, using examples from different fixed income funds. Participants will learn more on the calculation and application of concepts through real examples.


17 September 2018, Monday (Module 1)

Fundamentals of Bonds, Yield Curves & Interest Rate Risk

FTS Programme code : P170623HCD​​

18 September 2018, Tuesday (Module 2)

Portfolio Optimization, Futures, Swaps and Risk Management

​FTS Programme code : P170623VCW​


19 September 2018, Wednesday (Module 3)

Credit Risk and Options in Investment Grade and High Yield Bonds

FTS Programme code : P170623EIC​

​Who should attend?
Current or future bond investors, bond fund managers, wealth managers / private bankers, fixed income sales professionals, CFA candidates, and CFA charter-holders looking to refresh or sharpen their fixed income skills can benefit from this course.  Attendees are assumed to be comfortable with the basics of Microsoft Excel, but are not expected to have any background in fixed income.​

​Course Outline

17 September 2018 (Module 1) : Fundamentals of Bonds, Yield Curves, and Interest Rate Risk

FTS Programme code : P170623HCD; 7 CPD and CE hours​​

Course Objectives

  • Understand how bonds are quoted, traded, and financed via repurchase agreements (repos)
  • Master the bond math of duration, PV, FV and curve construction
  • Fit the yield curve to infer future central bank moves and identify steep/flat/rich/cheap points
  • Apply principle component analysis to understanding different yield curve shifts

Course Outline / Modules:

  1. Simulation of bond trading, P&L, and repo
  2. A classic asset liability management (ALM) problem: Duration matching, DV01 via tenor/allocation/leverage
  3. The "rolling down the curve" bond investing strategy
  4. Bootstrapping: Calculating today's price of any future cash flow
  5. A simple model for fitting yield curves and forecasting interest rates
  6. Introduction to principle component analysis (PCA) - a powerful tool for understanding how yield curves actually move​

18 September 2018 (Module 2) : Portfolio Optimization, Futures, Swaps and Risk Management

FTS Programme code : P170623VCW; 7 CPD and CE hours

Course Objectives:

  • Calculate the total return, volatility, Sharpe ratio, and other metrics of a bond portfolio
  • Optimize a fixed income portfolio using mean-variance and alternate techniques
  • Use futures and swaps to hedge or access specific types of fixed income exposure, with one cross-currency example
  • Apply the basics of risk management to a fixed income portfolio

Course Outline / Modules:

  1. Calculation of total return vs. other measures of return, and how to calculate different measures of risk
  2. Mean-variance optimization - how to maximize expected returns and minimize risk
  3. Basics of fixed income futures and swaps and how to use them for hedging and yield enhancement
  4. Basics of risk management including VaR and other risk measures, and how risk models fail.
  5. Review of sample portfolios and historical examples​

19 September 2018 (Module 3) : Credit Risk and Options in Investment Grade and High Yield Bonds

 FTS Programme code : P170623EIC; 7 CPD and CE hours

Course Objectives:

  • Understand different types of options found in fixed income markets and the basics of how they are priced
  • Understand credit spreads, the risk they imply, and measures of return premium from investing in credit
  • Apply the concepts learned in the course to real examples found in fixed income markets

Course Outline / Modules:

  1. Basics of options, convertible bonds and option pricing, important differences between equity options and the simplest FI options
  2. More options found only mostly in Fixed Income – "Bermudan" callables, Swaptions, Caps and Floors
  3. Credit spreads - benchmark, asset swaps, credit default swaps, and implied default probabilities
  4. Basics of capital structure arbitrage,  and structured credit trades
  5. Recap using sample fixed income situations and different examples of bond funds​​

​​Course Fee:

CFA Singapore member price : S$880* per module (Early B​ird fee) / S$1,080* per module (Standard fee)

Non-member price : S$1,080* per module (Early Bird fee) / S$1,280* per module ​(Standard fee)

Early bird fee valid till 17 August 2018

* Prices before 7% GST

* Course Fee includes - Course Materials, Lunch & Refreshments

​(Please apply promo code BFIWS2018 for payment of 2 and more modules via the registration portal)

Event Type

Society; Educational

Education Topic

Fixed Income; Risk Management

Start Time

9/17/2018 9:00

End Time

9/19/2018 17:00





Event Country


Event Region

Asia Pacific

Location Info

​Oakwood Premier, 6 Shenton Way, #07-01, OUE Downtown 1, Singapore 068809


Tariq Dennison

CE Credits

7 per day per module

SER Credit




Member Price

S$880* per module (Early Bird fee) / S$1,080* per module (Standard fee)

Non-Member Price

S$1080* per module (Early Bird fee) / S$1,280* per module (Standard fee)

Candidate Price



​Click HERE​ to register

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Bonds and Fixed Income Workshop 17 to 19 Sept 2018.pdf    
Content Type: MyCFA Calendar
Created at 8/6/2018 18:19 by[CASMSTS:username]
Last modified at 9/16/2018 17:35 by[CASMSTS:username]