The Hidden Uses of Vanna

Vanna is a greatly under-used, higher-order option tool. Apart from being useful in its own right by virtue of its plain definition, it is also a valuable indicator that reveals information about the structure of an option portfolio, as well as the dynamic properties of a portfolio with respect to time. It remains, however, conspicuous by its absence from many traders' and risk managers' typical risk profile matrices. This Learning Curve aims to explain the advantages of vanna and combining it with vomma, another higher-order option.

  • 08 Apr 2011
Email a colleague
Request a PDF
Vanna is a greatly under-used, higher-order option tool. Apart from being useful in its own right by virtue of its plain definition, it is also a valuable indicator that reveals information about the structure of an option portfolio, as well as the dynamic properties of a portfolio with respect to time. It remains, however, conspicuous by its absence from many traders' and risk managers' typical risk profile matrices. This Learning Curve aims to explain the advantages of vanna and combining it with vomma, another higher-order option.  Understanding VannaVanna is typically defined as the change in option delta for a change in implied volatility. Usually it assumes a normalized form so as to show the change in delta for a 1% move in implied volatility. Call options have positive vanna, and puts have negative vanna. This is because an increase in implied volatility raises the chance that any call or put will expire in-the-money and this is synonymous with a higher, absolute delta. Perhaps a principle reason for the lack of attention vanna receives is that the risk associated with it might be thought innocuous. After all, hedging the effects of vanna is simply a matter of hedging with the spot product. As implied volatility changes, the portfolio delta changes due to the portfolio vanna and the trader simply neutralizes the effect by buying or selling the underlying product in the relevant quantity. This story is however an over-simplification and also omits vanna's other potential uses. Firstly, being a higher-order Greek, its potency is often magnified by compound events. Let's take an example of a portfolio that is long calls, short puts, fully delta-hedged and vega neutral. This position will exhibit positive vanna, as both the long calls and short puts are vanna positive. Now, if the spot price is unchanged, it is true to say that the trader is not greatly concerned by her long vanna exposure. Whether implied vol rises or falls, he/she can simply re-hedge to maintain delta-neutrality with little or no profit and loss implications, since the spot price has not moved far, if at all, from where the original position was entered into. Now, however, consider two concurrent events; namely the implied volatility increases and the spot price falls. In this case, the trader is running into the short put position as implied volatility is rising, which is unfortunate. But things are compounded because he/she is also becoming longer delta in a falling market, due to positive vanna. The trader is long vanna; the implied volatility is rising, so the delta position increases. This is where you have double trouble. In short, vanna is a greater risk when multiple events occur. In this sense, it is a complex risk ideally suited to situations when a trader's own outlook is more specific with respect to the covariance of an underlying's price and implied volatility movement. When using hedged options to form a certain strategy, or to structure a desired pay-off profile with respect to the spot price and implied volatility, vanna effects should always be included in the calculation.   Using VannaThe uses of vanna however go well beyond those implied by its simple definition. A secondary use of the vanna metric is as an indicator of the portfolio's vega profile with respect to the upside and downside. In complex inventories containing longs and shorts of varying strike and quantities, vanna provides a single number that can at least in part summarize the distribution of option premium across the curve. For example, if a trader has positions at many strikes both above and below the current spot price, he/she will typically reduce this for convenience into vega by bucket or by curve segment. So an array of longs and shorts can be simplified by taking the weighted average vega contributed by the inventory in each strike. The outcome may be a conclusion that, on balance, the portfolio is long calls (upside) and short puts (downside). Another way to achieve the same goal would be to view the vega risk up and down on an underlying price-slide risk matrix. But in many cases, both methods can be approximated by a glance at the vanna metric. By definition, positive vanna implies a position that is either net long calls, net short puts or both. The usefulness of this shortcut can be augmented in two ways. Firstly, by having in mind the vanna of a certain option or options, the position can be synthetically converted into a vanna-equivalent position. So, if the trader knows that a 15% delta call option of the expiry in which he/she is interested has say a vanna of vx per 1000 lots, and the corresponding -15% delta put option a vanna of -vy, then the risk reversal has a vanna of plus or minus (vx + vy), depending on the direction of trade. Having these numbers memorized or otherwise to hand, can certainly pay dividends in fast markets or when inventories become highly complex. Knowing how to neutralize an imbalance in vega spreads between upside and downside positions can be made less an art, more a science by employing this synthetic vanna trick.   Applying VommaThe observant reader may have spotted a subtle flaw in this thinking, however. The vanna number is unable to provide clarity on whether its value is being driven by a long or short call position, a long or short put position or some combination of one and/or the other. This deficiency is easily overcome by using vanna in combination with vomma. Vomma is the higher-order Greek giving the change in vega for a change in implied volatility. By virtue of the fact that at-the-money options have all but zero vomma, one can attribute a position's vomma entirely to its wings (i.e. to the upside and downside premium). And since both out-of-the-money calls and puts have positive vomma, it provides the additional information the vanna metric omits. Let's consider a position that is positive vanna but vomma-neutral. What can be gleaned from this? Well, the positive vanna indicates the position is long calls, short puts or both. But the zero vomma indicates a flat wing position. In other words, the longs and shorts in the wings must net off. Therefore this position is both long calls and short puts, in roughly vega neutral amounts. Also, consider a position that is short vanna and short vomma. The short vanna suggests a short call and/or long put position. But the short vomma indicates short calls and/or short puts. One would conclude that this position is likely to simply be short calls, as the put position appears to net out to flat. This demonstrates how using vanna and vomma in tandem, one can generate a useful shorthand for characterizing upside/downside exposures. To be even more precise, one can also use the technique applied above of noting the vanna for a particular wing option, with respect to the vomma. So, if one notes the vomma of a 15% delta strangle, then one can deduce with reasonable accuracy the equivalent upside and downside position in terms of 15% calls or puts as indicated by the vanna/vomma pairing. Indeed, it is a relatively simple matter to add these benchmark numbers to any configurable option risk matrix. Another use of vanna is as a proxy for charm. Given that falls in implied volatility can be considered as analogous to a reduction in the time to expiry, vanna can be used indicatively to assess how a portfolio delta will alter over time. Specifically, positive vanna will be associated with a falling net delta as time passes. Why not simply use charm in this case? Of course one could. But as the information is contained indirectly within the vanna metric and vanna has many other uses besides, it is not uncommon to see risk matrices omit charm in favour of vanna.   Health WarningsHaving made a case for vanna, a couple of health warnings are in order. None are specific to vanna, but they still ought to be declared. As with any vega-related Greek, addition across durations is not appropriate unless the volatility surface across durations moves identically. Vanna, as for any option risk metric, varies with respect to every other variable (spot price, implied volatility, cost of carry etc.). Perhaps most pertinent as relates to the above suggestion that vanna has a useful descriptive function, is the change in vanna with respect to spot price. Vanna is certainly a risk metric best viewed on a price-slide risk matrix. Vanna is of course a function of the implied volatility values employed in its calculation. If these are theoretical rather than the prevailing market's, then a discrepancy will exist between the trader's vanna and that which the market would assign to its position, should these implied volatilities differ. Perhaps this is most relevant when the vanna is used in its most straightforward way; that is when it is used to determine the likely change in delta for a change in implied volatility. In large implied volatility movements, the vanna affect is magnified in like proportion. And so large profits and losses can accrue not simply from having a large vanna exposure, but also from any discrepancy between the theoretical vanna and what would be the market's perception of the trader's vanna using prevailing market volatilities. But all in all, vanna, used correctly, is a most revealing higher-order option Greek that should undoubtedly be bleeping on any trader or risk manager's radar.   This week's Learning Curve was written by Simon Gleadall, CEO of derivatives training technology company Volcube in London.

Derivatives Week is now accepting submissions from industry professionals for the Learning Curve® section. For details and guidelines on writing a Learning Curve®, please call Robert McGlinchey in London at (44-20) 7303-1789 or email RMcGlinchey@euromoneyplc.com.

  • 08 Apr 2011

Bookrunners of International Emerging Market DCM

Rank Lead Manager Amount $m No of issues Share %
  • Last updated
  • Today
1 Citi 56,672.57 257 9.80%
2 HSBC 54,980.77 293 9.51%
3 JPMorgan 49,959.61 212 8.64%
4 Deutsche Bank 27,197.53 109 4.71%
5 Standard Chartered Bank 23,982.23 172 4.15%

Bookrunners of LatAm Emerging Market DCM

Rank Lead Manager Amount $m No of issues Share %
  • Last updated
  • Today
1 Citi 17,236.12 48 14.67%
2 HSBC 14,417.38 33 12.27%
3 JPMorgan 13,685.70 47 11.65%
4 Bank of America Merrill Lynch 10,330.75 38 8.79%
5 Santander 9,596.44 36 8.17%

Bookrunners of CEEMEA International Bonds

Rank Lead Manager Amount $m No of issues Share %
  • Last updated
  • Today
1 JPMorgan 23,828.80 80 12.78%
2 Citi 22,438.42 77 12.03%
3 HSBC 16,512.02 63 8.86%
4 BNP Paribas 9,898.80 29 5.31%
5 Deutsche Bank 9,721.98 26 5.21%

EMEA M&A Revenue

Rank Lead Manager Amount $m No of issues Share %
  • Last updated
  • 02 May 2016
1 JPMorgan 195.08 50 10.55%
2 Goldman Sachs 162.26 37 8.77%
3 Morgan Stanley 141.22 46 7.64%
4 Bank of America Merrill Lynch 114.20 33 6.18%
5 Citi 95.36 35 5.16%

Bookrunners of Central and Eastern Europe: Loans

Rank Lead Manager Amount $m No of issues Share %
  • Last updated
  • Today
1 ING 2,729.06 23 8.33%
2 Bank of America Merrill Lynch 2,624.57 11 8.01%
3 UniCredit 2,390.81 17 7.30%
4 SG Corporate & Investment Banking 2,301.01 20 7.02%
5 Sumitomo Mitsui Financial Group 2,180.06 9 6.65%

Bookrunners of India DCM

Rank Lead Manager Amount $m No of issues Share %
  • Last updated
  • Today
1 AXIS Bank 11,489.16 155 23.05%
2 ICICI Bank 5,143.70 131 10.32%
3 Trust Investment Advisors 4,716.76 132 9.46%
4 Standard Chartered Bank 3,661.93 41 7.35%
5 Yes Bank Ltd 2,469.67 59 4.95%