Numéraire

The numéraire (or numeraire) is a basic standard by which value is computed. In mathematical economics it is a tradable economic entity in terms of whose price the relative prices of all other tradables are expressed. In a monetary economy, one of the functions of money is to act as the numéraire, i.e. to serve as a unit of account and therefore provide a common benchmark relative to which the value of various goods and services can be measured against.

Using a numeraire, whether monetary or some consumable good, facilitates value comparisons when only the relative prices are relevant, as in general equilibrium theory. When economic analysis refers to a particular good as the numéraire, one says that all other prices are normalized by the price of that good. For example, if a unit of good g has twice the market value of a unit of the numeraire, then the (relative) price of g is 2. Since the value of one unit of the numeraire relative to one unit of itself is 1, the price of the numeraire is always 1.

Change of numéraire

In a financial market with traded securities, one may use a numéraire to price assets. For instance, let ${\displaystyle M(t)}$ be the price at time t of $1 that was invested in the money market at time 0. The fundamental theorem of asset pricing says that all assets ${\displaystyle S(t)}$ priced in terms of the numéraire (in this case, M), are martingales with respect to a risk-neutral measure, say ${\displaystyle Q}$. That is:

${\displaystyle {\frac {S(t)}{M(t)}}=E_{Q}\left[{\frac {S(T)}{M(T)}}\right]}$

Now, suppose that ${\displaystyle N(t)>0}$ is another strictly positive traded asset (and hence a martingale when priced in terms of the money market). Then we can define a new probability measure ${\displaystyle Q^{N}}$ by the Radon–Nikodym derivative

${\displaystyle {\frac {dQ^{N}}{dQ}}={\frac {M(0)}{M(T)}}{\frac {N(T)}{N(0)}}={\frac {N(T)}{M(T)}}}$

Then it can be shown that ${\displaystyle S(t)}$ is a martingale under ${\displaystyle Q^{N}}$ when priced in terms of the new numéraire ${\displaystyle N(t)}$:

${\displaystyle {\begin{aligned}&{}\quad E_{Q^{N}}\left[{\frac {S(T)}{N(T)}}\right]\\&=E_{Q}\left[{\frac {N(T)}{M(T)}}{\frac {S(T)}{N(T)}}\right]/E_{Q}\left[{\frac {N(T)}{M(T)}}\right]\\&={\frac {M(t)}{N(t)}}E_{Q}\left[{\frac {S(T)}{M(T)}}\right]\\&={\frac {M(t)}{N(t)}}{\frac {S(t)}{M(t)}}\\&={\frac {S(t)}{N(t)}}\end{aligned}}}$

This technique has many important applications in LIBOR and swap market models, as well as commodity markets. Jamshidian (1989) first used it in the context of the Vasicek model for interest rates in order to calculate bond options prices. Geman, El Karoui and Rochet (1995) introduced the general formal framework for the change of numéraire technique. See for example Brigo and Mercurio (2001)^[1] for a change of numéraire toolkit.

Numéraire in financial pricing

Determining an appropriate numéraire has foundation in several financial pricing models such as options and certain assets. Identifying a risky asset as numéraire has a correlation with the number of underlying assets to model. Underlying shifts are modelled by the following:

${\displaystyle Z_{i}:={\frac {X_{i}}{X_{0}}}}$

${\displaystyle X=(X_{0},X_{1},...,X_{n})\to Z=(1,Z_{1},...,Z_{n})}$

where 1 defines the numéraire.

See also

• Forward measure
• Price index
• Unit of account

References

1. https://www.ma.imperial.ac.uk/~dbrigo/detshiftrep.pdf ^{[bare URL PDF]}

Sources

• Farshid Jamshidian (1989). "An Exact Bond Option Pricing Formula". The Journal of Finance. 44: 205–209. doi:10.1111/j.1540-6261.1989.tb02413.x.
• Helyette Geman; Nicole El Karoui; J.C. Rochet (1995). "Changes of numéraire, changes of probability measure and option pricing". Journal of Applied Probability. 32 (2): 443–458. doi:10.2307/3215299. JSTOR 3215299. S2CID 124199920.
• Damiano Brigo; Fabio Mercurio (2006) [2001]. Interest Rate Models – Theory and Practice with Smile, Inflation and Credit (2 ed.). Springer Verlag. ISBN 978-3-540-22149-4.
• Allingham, Michael (2008). "Numeraire". The New Palgrave Dictionary of Economics. Palgrave Macmillan. pp. 1–2. doi:10.1057/978-1-349-95121-5_1514-2. ISBN 978-1-349-95121-5.