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Only one week left! Live Panel Discussion: Treasury Trends for 2023
10-11-2022 | treasuryXL | Nomentia | LinkedIn |
A friendly reminder that next week at 11 AM CET (November 17th), we’ll be collaborating with Nomentia.
Participate in our live panel discussion regarding 2023’s predicted treasury trends. We invited industry experts to join us and have an open debate about the issues that treasurers would need to think about in 2023. Additionally, there is the option to ask questions.
Date & Time: November 17, 2022, at 11 AM CET | Duration 45 minutes
Some of the topics we’ll cover:
November 17 | 11 am CET | 45 minutes
Panel discussion members:
Pieter de Kiewit, Owner of Treasurer Search (Moderator)
Patrick Kunz, Independent Treasury Expert (Panel member)
Niki van Zanten, Independent Treasury Expert (Panel member)
Huub Wevers, Head of Sales at Nomentia (Panel member)
What is meant when we read or hear about Volatility?
09-11-2022 | Harry Mills | treasuryXL | LinkedIn
We all have an intuitive feel for what volatility is – we know when a market is exhibiting high or low volatility because we see differences in price changes. But it pays to be more precise with our language and to understand what is meant when we read or hear about volatility.
By Harry Mills
Source
Defining Volatility
Let’s start with a more instinctual and accessible definition:
In his preeminent book, Option Volatility & Pricing, Sheldon Natenberg refers to volatility as “a measure of the speed of the market,” which is a particularly useful reference point when we consider that volatility and directionality are two different things: an underlying’s price can slowly move in one direction over time with very low volatility, or perhaps it swings wildly from day to day, but over a year it’s not changed much.
Now we have a feel for what volatility is, how do we quantify it? This third definition explains what it actually is: the annualised standard deviation of returns, and Natenberg refers to volatility as “just a trader’s term for standard deviation.”
This isn’t an article on standard deviation per se, but if you’re unaware of what this means then it is a measure of the dispersion of data around the average. Take for example if we measure the height of 1,000 people:
What about “annualised” and “returns”?
Volatility is always expressed as an annualised number – this uniformity means that everybody knows what is meant when we talk about volatility being X%. In that sense, it’s rather like interest rates, which are also always described as an annualised figure.
This might not be so immediately useful to a trader or a risk manager, though, who might be thinking of daily or weekly price movements and where their risk or opportunities lie. Volatility is proportional to the square root of time, so to convert annualised volatility into daily, we simply divide the volatility by the square root of the number of days in a year – but we need trading days – on average there are 252, equating to 21 trading days a month. The square root of 252 is 15.87, but most traders approximate this to 16…
Hence, if we have a contract trading at 100 with a standard deviation of 20%, then: 20%/16 = 1.25%. We would therefore expect to see a price change of 1.25% or less for every two days out of three (+/- 1 standard deviation is around 68%).
Returns… I won’t go into detail, but if you want to explore this I would recommend chapter 10.6, The Behaviour of Financial Prices, in Lawrence Glitz’s superb Handbook of Financial Engineering which explains how price returns follow a normal distribution and prices follow a lognormal distribution. I’ll also add that calculating the standard deviation of prices doesn’t provide meaningful information because what we are looking for is the change from one period to the next, so we need to look at the daily returns!
Still here? Ok… let’s take it down a notch and look at the types and uses of volatility
Types of Volatility
There are a few types of volatility that can be measured, but by far the most commonly used and referred to are historical and implied volatility:
Uses of Volatility as an Indicator
Volatility is a common measure of risk, and it is a key component of Value at Risk modelling. But be warned of the ubiquitous disclaimer that past performance is no guarantee of future results.
Historical volatility is useful to understand how an asset or a currency has performed in the past – you can line this up with significant macroeconomic events and understand why there may have been a period of change, and you can get a feel for how the underlying “normally” behaves. For example, trading in the Turkish lira will probably present a higher risk than in, say the Swiss franc.
Summary
Thanks for reading!
Harry Mills, Founder at Oku Markets
How Treasurers Can (Still) Get Ahead During Uncertain Times
08-11-2022 | treasuryXL | GTreasury | LinkedIn |
Victoria Blake, the Chief Product Officer at GTreasury, recently ran through four trends that corporate treasurers ought to be paying careful attention to—particularly as ongoing economic uncertainty heads into 2023.
Read more at Treasury Management International