FX derivatives trading portfolios contain different types of deal: vanilla options, exotic options, spots, forwards, and so on. To risk manage derivatives positions traders use Greeks; the exposures of the position to market changes. Greeks are calculated on each deal in the portfolio and then aggregated together. For a given market move, some deals in the portfolio will make money or, for example, get longer vega, and others will lose money or get shorter vega: Traders only care about the net impact from all deals. For this reason traders primarily describe their positions in terms of long or short positions in aggregated Greek exposures. For example, an FX derivatives trader may describe their position in a given currency pair as “flat delta, short topside gamma, and long vega.”
As markets move, positive or negative P&L is generated from different aggregated exposures within the position. The most important exposures are to spot (delta exposure) and ATM volatility (vega exposure). There are also exposures to CCY1 and CCY2 interest rates (rho exposures), exposures to curve moves in these instruments, plus exposures to the shape of the volatility surface. Finally, exposures are not static: Recall the gamma and vega profiles for vanilla options from Chapter 6; exposures change as the market moves or time passes.
For these reasons, trading an FX derivatives position is not straightforward. To simplify analysis, traders often consider similar types of Greeks together:
To understand the trading risk in a vanilla derivatives trading position, a trader must investigate all these different types of risk. Fundamentally, though, focusing on higher-order risks while neglecting first-order exposures is obvious folly. The majority of FX derivative trading P&L usually comes from exposures to spot and implied volatility:
Long vanilla option positions always give long gamma exposures while short vanilla option positions always give short gamma exposures. Exhibit 9.1 recalls how the gamma exposure from a vanilla option increases and concentrates at the strike into maturity. Therefore, the short-date position mainly consists of vanilla options expiring within the next month or so with strikes fairly close to current spot. These options generate significant gamma exposures that cause delta and hence P&L to change as spot moves. Traders control these P&L changes by managing their delta and gamma exposures.
One common method of viewing the short-date position is a spot ladder that shows P&L, delta, and gamma over a range of spot values. This allows traders to anticipate how their P&L and position will change as spot moves. In particular, traders use spot ladders to determine when to hedge their delta exposures.
The gaps between spot levels in the ladder should be aligned with the spot volatility in the currency pair. The higher the spot volatility, the wider the appropriate spot spacings. Plus, if a pegged or managed currency pair has significant jump risk, two ladders—one with tight spacings and one with wide spacings—might be appropriate.
Exhibit 9.2 shows a EUR/USD spot ladder from a long EUR20m 1wk ATM position, with current spot highlighted in the middle of the ladder. Values in this spot ladder are generated assuming market data (apart from spot) remains unchanged and no additional trades are executed as spot moves from its current level. This is a long vanilla option position and is therefore long gamma. Peak gamma is at current spot because it is an ATM contract. The contract is delta neutral by construction so initial delta is zero.
As spot moves, P&L change occurs faster the further spot moves in either direction. This is characteristic of being long the second derivative (i.e., long gamma). In trading positions, gamma is quoted per 1% move in spot, so, for example, on a 1% spot move higher (from 1.3000 to 1.3130), delta increases by approximately +EUR5.6m (current gamma).
Assume EUR/USD spot rises from 1.3000 to 1.3065, as shown in Exhibit 9.3:
The trader now has a decision to make:
Now, from the same starting point, assume EUR/USD spot falls from 1.3000 to 1.2935, as shown in Exhibit 9.5:
Once again, spot has moved, a delta position results from the long gamma, and the trader has two choices:
If the delta is initially balanced, long gamma causes a positive P&L change if spot moves either up or down, just so long as it moves somewhere. Hedging the delta resulting from a long gamma exposure naturally leads to buying spot when it goes lower and selling spot when it goes higher. Buying low and selling high locks in P&L over the course of the day in a process known as trading the gamma. When leaving orders in the market to trade a long gamma position, looped take-profit orders are often used (e.g., sell EUR5m at 1.3130, if done, buy EUR5m at 1.3000, if done, sell EUR5m at 1.3130).
Positions with larger gamma exposures are delta hedged more frequently. In this single option example, if spot stays close to the strike as days pass, the gamma from the vanilla option increases, which will lead to more frequent delta hedging. Then, on the expiry date of the long ATM contract, Exhibit 9.7 shows the trading position with the delta balanced around the strike.
Trading risk is viewed as of a specific horizon date (usually today) and the risk on options that expire on the horizon is viewed at expiry time. Therefore, the option is viewed as a strike; an instantaneous delta jump equal to the option notional rather than gamma exposure. With spot at 1.3001 (above the strike), delta exposure is +EUR10m. With spot at 1.2999 (below the strike), delta exposure is –EUR10m: a EUR20m delta change, the notional of the option. Trading this position is similar to trading gamma, except that all the delta change occurs at the strike.
For a long strike position:
Once the delta position is fully hedged back to zero, it is not possible to hedge again until spot goes back through the strike.
In general, P&L volatility from a single vanilla option increases as time to expiry gets shorter if spot remains near the strike. Plus, for a given ATM vanilla option, P&L volatility from trading the strike at expiry tends to be larger than P&L volatility from trading the gamma prior to expiry.
Trading a long gamma position looks easy—buy vanilla options to get long gamma, and if spot moves higher or lower, you make money. Long gamma naturally means spot can be bought low and sold high, hence generating positive P&L. Of course, there is a cost for this and that cost is theta , also known as time decay or just decay. For a long gamma position, theta is the cost of holding the trading position from one trading day to the next.
If realized volatility is larger than implied volatility there will be more opportunities to delta hedge, which usually results in larger P&L from trading a long gamma exposure than is paid in theta, hence generating positive P&L overall.
If realized volatility is smaller than implied volatility there will be fewer opportunities to delta hedge, which usually results in smaller P&L from trading a long gamma exposure than is paid in theta, hence generating negative P&L overall.
If no delta hedging is performed throughout the trading day (and assuming no P&L from any other source), the daily P&L will be a function of the difference between yesterday's end-of-day spot and today's end-of-day spot (end-of-day market data is the official reference used for P&L generation, limit checking, etc.). Alternatively, if delta hedging were performed continuously (not possible in practice), P&L would be a function of implied volatility and realized volatility (recall from Chapter 5 that this is the essence of the Black-Scholes formula derivation). An FX derivatives trader's main focus, skill, and exposures are to FX volatility. Therefore, option positions are delta hedged frequently throughout the day.
If spot followed a mathematical random walk, the primary factor in determining the optimal delta hedge frequency of a long gamma position would be the spot bid–offer spread size. The Euan Sinclair book “Volatility Trading” has a good section on this (see Further Reading). In practice, though, decisions on when and how to trade the delta exposure are based on different factors:
Many derivatives traders love trading spot to manage their delta exposures throughout the day and they believe that they add value by doing this. A friend at another bank reported their boss proclaiming (with a straight face) “trading spot is like playing Mozart” and selling EUR/CHF spot shortly before the Swiss central bank unexpectedly intervened and sent spot over 8% higher. In stable market conditions it is debatable how much value a trader can add, but when unexpected events occur, the ability of a human trader to rapidly process new information in context can be an advantage.
Exhibit 9.8 shows a EUR/USD spot ladder from a short EUR20m 1wk ATM position.
P&L change, delta, and gamma are all equal and opposite (negative) to the long ATM position:
while:
If spot moves in either direction, the delta change from a short gamma position produces a negative P&L change. The decision for the trader therefore becomes whether to stop-loss the delta (i.e., buy high/sell low) or let it run and potentially lose even more at an increasing rate due to the short second derivative. In practice, trading short gamma is often made easier by accepting that at least half the theta earned will be lost through stopping out. Trading with close stop-loss orders helps avoid large negative P&Ls.
A short gamma position earns theta but loses money throughout the trading day as spot moves. Again, if the position is delta hedged frequently, the overall P&L generated is primarily a function of implied volatility and realized volatility, but this time the position will generate higher positive P&L if realized volatility is below implied volatility.
Traders investigate their short-date position in order to identify the main trading risks. Exhibit 9.9 shows a spot ladder from an AUD/USD FX derivatives trading position.
The position is long gamma at current spot and to the downside, but short gamma to the topside. This gamma profile implies that at shorter maturities the position is net long downside vanillas and short topside vanillas.
The first thing to check is that the delta and gamma positions tie up:
The position is short gamma to the topside, yet the delta jumps longer as spot goes higher from 0.9177 to 0.9205 as highlighted in Exhibit 9.10. Gamma profiles from vanilla options are smooth. Therefore, there must be a “strike” (i.e., a vanilla option expiring today) in the position causing a delta jump through it. Moreover, it must be a long strike since the delta jumps longer with spot higher.
Details of specific options in the position can be checked using a trade query or strike topography. A trade query is used to return details of every option in the portfolio as shown in Exhibit 9.11.
Strike topographies display a grid of expiry dates and strikes in one currency pair, making it easier to visualize the positioning of strikes. This is shown in Exhibit 9.12.
There may be just one option or multiple long/short options at a particular expiry date and strike in the strike topography; only the net notional is displayed. This information plus other missing details (e.g., cut or counterparty) can be obtained by drilling down into a given expiry and strike level.
These views confirm that the position is long AUD10m of 0.9200 strike expiring at NY cut today. This is important information because the delta jump at 0.9200 requires particular attention from the trader. Strikes are closely risk managed due to the delta jumps they generate. The larger the notional, the more attention a strike requires. This long strike will generate negative (paying) theta, but it gives the opportunity to make money back from it by trading delta over the course of the day (before it expires).
In general, the key question for a trader is whether they like the short-date position—that is, will it generate a profit? If there are aspects of the position that the trader doesn't like, trades should be executed to change the position. However, the cost of achieving a preferable position must be taken into account. Very often traders put up with a position they don't particularly like because the liquidity isn't available to get a position they do like at reasonable cost.
Individual traders will assess a short-date position differently but there are several common areas to consider.
P&L balance involves assessing whether the position generates similar P&L changes for similar-sized up and down spot moves. This, of course, assumes the trader has no strong opinion on future spot moves. P&L balance can be checked in the spot ladder.
The P&L and delta positions should tie up:
Any discrepancies should be investigated; unexpected P&L jumps are most likely caused by exotic risk in the position.
Assuming the trader has no opinion on spot direction, it can be checked that the P&L change on equal-sized up and down spot moves is roughly the same. Traders usually look at a one-day spot move of approximately one-and-a-half standard deviations up and down. In currency pairs with implied volatility somewhere close to 10%, spot moves around 0.75% to 1% are often considered within P&L balance. In practice, though, traders look over a wider spot range, and if there are extreme negative P&Ls at spot levels which might conceivably be reached, it is more important to concentrate on controlling the P&L in those areas rather than on pure spot up/spot down P&L balance.
In the example AUD/USD position, the P&L is roughly balanced, but a bit of additional spot could be bought to balance it better as highlighted in Exhibit 9.13.
To increase the P&L at 0.9233 by USD8k and hence reduce the P&L by USD8k at 0.9068 (the equivalent spot move lower), 8,000/(0.9233 − 0.9150) = AUD960k spot should be bought. Buying spot changes the delta exposure and hence adjusts the P&L profile over spot as shown in Exhibit 9.14.
In practice, the delta and hence the P&L profile over different spot levels can be adjusted by buying or selling spot but full P&L balance is a multi-dimensional problem. The gamma profile must be considered as well as impacts from ATM volatility and the volatility smile.
In trading positions, theta is quoted as the cumulative change in value from one trading day to the next for all deals in the position.
If a trading position is mainly long strikes and long gamma, the long option values reduce over time and theta will be negative. The negative theta is roughly the maximum that can be lost from the short-date position if the delta is initially balanced since delta hedging the long gamma position will make money back.
If a position is mainly short strikes and short gamma, the short option values reduce over time and theta will be positive. The positive theta is roughly the maximum that can be made from the short-date position if the delta is initially balanced since delta hedging the short gamma position will cost money. A trader friend at another bank was once told, “You can have any gamma position you like, so long as you don't pay any theta!”
In Black-Scholes world, gamma and theta are proportional: Higher theta implies higher gamma exposure and hence higher P&L volatility. Put another way, with more positive or negative gamma the trader is more exposed to how spot moves. If a trader decides that theta and hence P&L volatility is too large, short-dated vanilla options should be transacted to reduce the existing gamma position.
It is worth noting here that factors other than gamma can also generate theta, for example, smile decay, roll down the ATM curve, funding cash balances, and so forth. These factors are explored in Chapter 14.
The spot ladder shows how the gamma exposure changes at different spot levels. Recall that:
Fundamentally, the trader has a decision to make: If the position is long gamma, looking at the spot ladder and the theta paid, will spot move enough to make back the theta from delta hedging? If the position is short gamma, looking at the spot ladder and the theta earned, will spot cause a loss from delta hedging larger than the theta?
For options that settle against a cut rather than a fix, at the expiry time of each option in the position, the owner of each option contacts the writer to tell them if they want to exercise the option. The most common cut time in G10 pairs is NY cut and the 20-minute period before NY cut is simply called expiries on most trading desks in London and New York.
In practice, from the start of the trading day, bank trading desks contact each other to exercise strikes that are very far from the current spot level. Over the course of the day, the strikes being dealt with get closer and closer to current spot and at some point responsibility passes from middle office to traders.
If spot is very close to a particular strike, communication between the option owner and the option writer will be established shortly beforehand, with the option owner asking to “hold” on the strike. Then as the cut time arrives, the decision to exercise or expire the contract is made based on the prevailing spot level.
This process is usually smooth but it can get dangerous when a trading position has multiple offsetting strikes at the same level. For example, a trader might be short a contract to one bank and long the same contract to a second bank. In order to keep an unchanged delta position the trader must wait for the bank that is long the contract to exercise or expire before they can pass the same decision onto the other bank. Often it is obvious what action should be performed, but if spot is exactly on the strike, this can be a difficult situation to manage. There are stories about traders hiding under the desk and refusing to come out until expiries are finished.
It is also possible for an option to be partially exercised. For example, if an option notional is AUD50m, the option owner could partially exercise it in only AUD30m. When this occurs, the new delta exposure within the trading position must be established as quickly as possible. Remaining calm when a partial exercise is requested on a large strike is a rare skill.
After expiries, if there were close strikes, the delta position may need to be rebalanced. For example, if a trading position is long USD100m USD/JPY 105.00 strike, delta may be positioned long USD50m above and short USD50m below the strike. After expiries, when the option has “rolled off,” the delta exposure will remain with no protection from the strike and hence the delta must be hedged back to flat by trading spot.
For options that settle against a fix rather than a cut, if the option is in-the-money at expiry, rather than generating a spot FX transaction, the cash-settled option generates a single cash payment. In practice, this means that the delta position from the option disappears and must be replaced with an FX trade which is usually transacted off the same fix as the option settled, hence minimizing risk.
A strike topography can be used to judge how the gamma profile will change over time. Strikes disappear from the position as they expire and options “behind” start to produce more gamma as they move closer to the horizon. Based on this, a trader can judge how their gamma position will evolve. Also, if there are significant option expiries on (what traders call) “good” or “bad” dates in the future, a trader might want to unwind or offset these positions.
So-called “good dates” have events (data releases) on them and spot is therefore expected to move more than usual, for example, days on which employment or GDP data is released. Such events can cause spot to jump as the market adjusts to new information. Traders must therefore know the big events coming up in their currency pairs for the next month at least.
So-called “bad dates” are expected to be quiet and therefore spot is expected to move less than usual, for example, days over Easter or between Christmas and New Year's.
It is easier to risk manage a short-date position that is long good days and short bad days because the position will be long gamma when spot is moving more and short gamma when spot is moving less. However, this must be considered with reference to the price paid to achieve the position. Anyone can buy a Non-Farm Payroll day at 25% volatility or sell a holiday Monday between Christmas and New Year's for 3% volatility, but does that represent good value? Analysis that answers questions like these is introduced in Chapter 17.
Also, some traders are happy to run lots of strike risk (i.e., have lots of open strikes in the book), while others prefer a much cleaner position:
Traders must know the big vanilla options they have in their position, so if there is an opportunity to close out a contract with clients or in the interbank broker market with minimal spread cross (or even spread earned), they can take it. Traders may also show improved prices to clients (called “axes”) to close out existing positions.
The ATM position contains exposures to the implied volatilities within the ATM curve. The standard way of assessing the ATM position uses vega and weighted vega exposures. Vega is a position's exposure to parallel shifts in the ATM curve. Recall from Chapter 6 that the vega profile on a vanilla option looks like a normal distribution bell-curve, with peak vega at the strike as per Exhibit 9.15.
Buying EUR20m 1yr ATM at 10% implied volatility gives the EUR/USD trading position shown in Exhibit 9.16. Since vega is now the focus of the spot ladder, wider spot spacings are appropriate. Total vega of roughly EUR80k is as expected since a 1yr ATM has 0.40% vega. It is important to remember that vega is proportional to the square root of time (so e.g., the 3mth ATM vega is half the 1yr ATM vega). Traders have these approximate ATM vega reference points in their head: O/N = 0.02%, 1mth = 0.10%, 3mth = 0.20%, 1yr = 0.40%. Therefore, an overnight ATM option costing 10% implied volatility will cost roughly 0.02% × 10 = 0.20% in premium terms, although note that this approximation works for ATM options only.
If 1yr ATM implied volatility then rises to 10.5%, the position changes as per Exhibit 9.17.
P&L has risen because the position is long vega and implied volatility is higher. Assuming no second-order effects:
where is P&L change, is implied volatility change, and is vega. In the example, P&L change (in USD) = 0.5 (implied volatility change) × EUR79,789 (vega) × 1.3000 (conversion from EUR to USD) = USD51,863.
One way of hedging the long ATM vega exposure would be to sell EUR40m of 3mth ATM, again at 10% implied volatility. This is shown in Exhibit 9.18.
The vega exposure at current spot is roughly flat but importantly the position is not flat in at least three ways:
Weighted vega is the exposure to weighted changes in the ATM curve. Within a weighted shift, short-dated ATM implied volatilities move more than long-dated ATM implied volatilities. See Chapter 14 for more detail on weighted vega.
Bucketed vega exposures (i.e., the vega exposure at each market tenor) are used to get a fuller view of the ATM position. For vanilla options, the price depends only on the implied volatility to the option maturity. Therefore, all vega for a particular vanilla option is bucketed at maturity. If the option expiry is between two market tenors, the vega will be split between them (e.g., the vega from a vanilla option with a 5mth expiry will appear as bucketed exposures in the 3mth and 6mth buckets). Exhibit 9.19 shows the bucketed vega exposures from the AUD/USD position.
The position is short both vega and weighted vega, but it is shorter vega than weighted vega, implying that the main short vega exposures are at longer maturities. If a trader wanted to flatten this position, they should buy back an ATM vanilla in the 1yr tenor since it is the largest single short bucket. AUD25m (=100,000/0.40%) 1yr ATM could be bought back to hedge the vega exposure.
In general, it is not possible to trade implied volatility with the same frequency as spot; there is less liquidity and it is harder to take profit and stop-loss the position. Trading ATM and smile positions is a longer-term endeavor than trading the short-date position. However, the key question for a trader remains whether they like the ATM position—will it generate a profit? If there are aspects of the position that the trader doesn't like, trades should be executed to change the position.
If trades are transacted and monitored individually, the total P&L on each trade can be calculated and tracked over time. However, since FX derivatives trading positions contain many (potentially thousands of) trades that are all risk managed together, mark-to-market P&L is calculated. This involves periodically recalculating the total mid-value of all contracts in the position. The P&L is then the change in total value from some reference point to now. Typically daily (the P&L change since yesterday's end-of-day snapshot), month-to-date, and year-to-date P&Ls are monitored, with traders primarily tracking daily P&L within their risk management.
Throughout the day, P&Ls are updated as trading positions are refreshed with live market data. If new deals are entered into the position, the P&L from the new deal is calculated as the difference between the traded price and the prevailing mid-price within the risk management system.
For example, EUR/USD spot mid is 1.3450. A trader crosses a two-pip spread to sell EUR10m EUR/USD spot at 1.3448. When this trade is entered into a previously empty trading position, the P&L changes by (1.3448 − 1.3450) × EUR10m = –USD2k: the spread crossed to transact the deal. The trading position now has a short EUR10m delta. If the mid EUR/USD spot then falls to 1.3445 and the trader updates market data within the trading position, the P&L from this deal will rise by USD5k. In practice, there are many deals in FX derivative trading positions, each with their own delta exposures; the net P&L change as spot moves depends on the aggregated delta exposure from all deals.
The same methodology is applied to derivative contracts, with the premium additionally considered. For example, AUD/USD 1yr ATM mid is 10.2% implied volatility in the desk volatility surface. Traders say that 1yr ATM is “marked” at 10.2%. A trader buys AUD100m 1yr ATM at 10.2%, sometimes described as trading “at sheets.” This deal causes no P&L change as it is entered into the risk management system because the deal was transacted at the current midmarket volatility: The long option position has the same mid value as the premium paid for the contract. If the contract had been bought for 10.3% instead, that would generate a negative P&L change of a tenth of the contract vega because the premium paid (calculated at 10.3% implied volatility) would be more than the value of the contract at the midmarket volatility (10.2%).
At the end of each day, a full snapshot of market data is taken: the end-of-day (EOD) data. The official daily P&L for a trading book is then calculated by taking the difference between yesterday's total EOD P&L and today's total EOD P&L where total P&L is calculated by summing the value of all contracts in the trading position using the relevant set of market data.
Finally, it is important to note that official P&Ls additionally take bid–offer spread into account. This is done because there can be differences between a “paper” mid valuation and P&L that could actually be realized. This occurs particularly in less liquid markets. For example, a USD/SGD trading position is long USD500k vega in the 5yr tenor. The 5yr USD/SGD ATM price in the market rises from 16.0/16.5% (16.25% mid) to 16.25/16.75% (16.5% mid). Once this market data is updated within the trading position, the simulation shows a profit of USD125k. However, closing out the position and realizing that profit would only be possible if better bids appear in the market.
Here is some common FX derivatives market slang and wisdom:
Phrase | What It Means |
“Ones”/“Twos,” etc. | 1-month ATM implied volatility/2-month ATM implied volatility, etc. |
“Double” | 0.55% (i.e., “seven double” is 7.55%). |
“Flot” | Small. |
“Touch” | The tightest price on a contract shown by the brokers. |
“Yard” | One billion. |
“Quid” | One million GBP (i.e., “I'm long ten quid cable”). |
“Buck” | One million USD (i.e., “The notional is fifty bucks”). |
“Market moving left” | Generally used to describe a price moving lower, specifically used to describe FX swap points moving more negative or less positive. |
“Market moving right” | Generally used to describe a price moving higher. Specifically used to describe FX swap points moving less negative or more positive. |
“Buy the rumor and sell the fact.” | Optionality should be bought when there is uncertainty (around a market event or a political situation) and sold when the uncertainty is removed. |
“The first cut is the cheapest.” | A reworking of a song lyric to reflect the fact that in the FX derivatives market, expiry cuts that occur earlier in the trading day always have a lower price. |
“It's cheap because it's rubbish.” | Used as a rebuke to a trading idea that involves buying something very cheap. There is a truth to this, involving the optimal balance between premium and payoff. |
“The trend is your friend.” | Standard market banter about following a trend. |
“Long-and-wrong.” | Holding a long position in a financial instrument for which the price is going lower. |
“Short-and-caught.” | Holding a short position in a financial instrument for which the price is going higher. |
“When in trouble, double!” | Dreadful trading advice about doubling exposures in order to make back a negative P&L. |
“More sellers than buyers.” | A true but unhelpful explanation for the market moving lower. |
“More buyers than sellers.” | A true but unhelpful explanation for the market moving higher. |
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