Cross Selling Treasury Products – Course Outline

Price volatility in crude oil, gold, silver, cotton, sugarcane, wheat and cereals has created an unprecedented opportunity for corporate relationship managers to cross sell treasury products to their institutional, trading, manufacturing and high net worth customers.

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The "Crossing Selling Treasury Products" video course presents a framework for empowering client facing treasury teams to go out and cross sell high value, high margin trading concepts to clients. They do this by educating customers about their exposures and by presenting a range of available solutions that would help reduce the risk associated with these same exposures.

 

Course Prerequisites

Corporate Banking and Treasury products, Value-at-Risk (VaR) and counterparty limits.

 

Course Audience

This course is targeted at intermediate and advance users and is aimed at banking, corporate, treasury and sales teams, relationship and account managers that offer or present derivative products as part of their marketing and sales efforts and repertoire.

 

Course Guide

Here is the structure of the course.

Title
Duration
Session 1 – Cross Selling Treasury Product: 5 Core themes for our discussion 36:10 mins
Session 2 – Working through numbers – Introducing Value at Risk and PSR 38:56 mins
Session 3 – The Petrochemical Case Study: Estimating Client Exposure 24:29 mins
Session 4 – Core Treasury products and TMU customer reactions 38:02 mins
Session 5 – Derivative Crash Course: Vanilla and Exotics Derivative Contracts – A Quick walk through 43:22 mins

 

Session One – Cross Selling Treasury Product: 5 Core themes for our discussion

There are 5 core themes to our discussion when it comes to commodity trading and trading ideas.

  1. Price
  2. Risk
  3. Value
  4. Products
  5. Limits

When engaging customers in discussions involving trading products and concepts, discussions generally revolve around one of the above themes. As a relationship or account manager if we are prepared to provide our recommendations based on a framework around one or more of these themes, the likelihood of the client understanding and buying the trade is higher. The framework is also useful in presenting analysis in a format that is logical and can be easily explained and digested.

The objective for using a framework is to work with clients across a range of product ideas and commodity markets. As long as there is broad agreement on the framework, the same trades can be applied across different markets.

Let’s take a look at each of these themes by one by one.

Price and Volatility

The difference between experienced and amateur traders is how we look at price.

When I see a price graph (as an amateur trader) such as the one below for crude oil (WTI) prices from January 2005 to August 2011 my immediate assessment is based on a one dimensional view of prices. Price are high or low, relatively high or low, abnormally high or low. The dimension is price level. In mathematical terms we try and approximate single dimensions such as price using linear relationships.

But experienced traders look at price in more than one dimension. Rather than just looking at relative price levels they ask question about fundamental drivers of price as well as additional dimensions other than just price levels.

 

For instance if the product that you are selling to a client is a derivative structure, rather than absolute price levels, you are primary interest is in volatility. Volatility is our old friend from our first course in statistics, a concept we know by its more familiar name of standard deviation. Dispersion, volatility, vol, standard deviations are different names for the same phenomenon – how much is a series likely to move or deviate from its average or mean.

 

 

View a sample of session one

 

Session Two: Working through numbers – Introducing Value at Risk and PSR

What is Risk? A quick and dirty introduction to Pre-settlement risk limits.

As a relationship manager we have to balance two points of views. What is the client’s exposure? What is his worst case loss without any intervention? A hedging or trading conversation cannot move forward unless this question is answered. How do these numbers change with intervention (ideally with the solution we have or are suggesting)? What happens to our balance sheet exposure if we help the client with these solutions? What happens if the client defaults and is not able to settle the exposure he has taken on with our products and solutions? To the client? To us?

The Pre-settlement risk limit estimates the above numbers by following a simple process. Using volatility it estimates the worst case possible price move (value at risk or var) and then estimates the value of the solution to the client and the bank at that level. It then evaluates the impact of a default if the client is unable to fulfill his commitment. Vol > VaR > Default Impact > PSR limit exposure.

From a risk point of view sometimes PSR can be a great tool to evaluate suitability of products and solutions in scenarios where client have been booked a series of losing trades. At times to manage trading losses, clients may book products that generate short term income but leads to a spike in PSR limit utilization. A PSR spike combined with trading losses is generally a great indicator of troubled waters ahead.

 

 

View a sample of session two

 

Session Three: The Petrochemical Case Study: Estimating Client Exposure

Any effort to create a framework for managing risk should start by asking the following questions

  1. What is the metric that we use for measuring risk?
  2. How frequently do we monitor it?
  3. How sensitive is this measure to changing prices and market conditions?
  4. How is this sensitivity benchmarked or calibrated?
  5. Do we use our realized historical experience in this calibration exercise?
  6. What models do we use to predict the range of values for this measure in the future?
  7. How stable are these models?
  8. Under what conditions will these models fail or break down?
  9. What are the assumptions behind these models?
  10. What is included in the data set used to run these models?
  11. Do we have a pre-defined tolerance for movement in this measure on account of prices and market conditions?
  12. How is this tolerance calculated? Who reviews and approves it? How frequently?
  13. How does this tolerance relate to expected loss? How does expected loss relates to actual capital that needs to be set aside to support this tolerance?
  14. Are there any policies and processes in place that document the answers to these questions?
  15. How frequently are these policies and processes reviewed?
  16. How do we measure the effectiveness of these policies in controlling the risk metric that we are tracking

A first look through the above questions allows us to classify them in the following categories.

  1. Policy
  2. Data
  3. Models
  4. Metrics and sensitivities
  5. Limits & Tolerance Levels
  6. Process and Control
A good risk framework examines the interaction of each of these categories with each other as well as the categories in isolation. As the figure shows risk capacity, preference and appetite drive the policy which sets the limits for risk and risk sensitivities. The limits are enforced, monitored and tracked through operational & control processes and the effectiveness of this framework determines the realized returns. Here the word return is used in a generic sense. Where risk minimization is the objective, the absolute scale of returns (or even the sign) is immaterial, what is relevant is that if in the end results are within per defined limits, loss tolerances and risk appetite. We start by taking a look at each of these elements individually.

 

View a sample of session three

 

Session Four: Core Treasury products and TMU customer reactions

In this session we quickly walk through a laundry list of transaction types we are likely to see as part of the Treasury Marketing Unit (TMU) team including transactions on the FX and Fixed Income side. From FX sale purchase to Bill Discounting, from Forward Rate Agreements to Fixed Income trades we introduce the intent of each trade and then follow up with the list of common customer reactions to our trade ideas. As well as instances of how product and strategies could be used to answer some of these questions and reactions for our customers.

 

View a sample of session four

 

Session Five: Derivative Crash Course: Vanilla and Exotics Derivative Contracts – A Quick walk through

In our last session we use 44 minutes to quickly review vanilla products, introduce the concept of option trading strategies and review nine exotic products at a high level. The objective is to provide a quick introduction to the subject using real life examples which can then be supplemented by free as well as downloadable reading materials available on the site.

 

View a sample of session five

 
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