# Positions, PnL & Risk

Szymon Kopyciński · 23 September 2026



## 1. Long, short and positions

### Position

The quantity of an instrument currently owned or owed by a trader or portfolio.

### Long

A position that gains when the asset rises in price.

If you buy 100 shares, you are long 100 shares.

### Short

A position that gains when the asset falls in price.

Shorting shares involves borrowing them, selling them, and later buying them back to return to the lender.

### Flat

Having no position in an instrument.

### Inventory

The positions currently held by a trader.

The term is particularly common in market making.

### Exposure

The amount of risk associated with a position or collection of positions.

It can be measured in several ways, including notional value (the market value of the underlying position), delta and beta-adjusted value.

### Gross exposure

The total absolute exposure across positions.

For example, if a portfolio is:

```
£1m long A
£1m short B
```

its gross exposure is £2m.

### Net exposure

Long exposure minus short exposure.

Using the same example:

```
£1m - £1m = £0
```

so net exposure is zero.

### Hedging

Taking a position designed to offset a specific existing risk.

### Delta hedge

A hedge that offsets the directional price exposure of an option or derivatives portfolio, usually by trading the underlying.

## 2. Profit, loss and performance

### PnL / P&L

**Profit and Loss.**

The amount of money gained or lost.

### Realised PnL

Profit or loss from positions that have been closed.

### Unrealised PnL

Profit or loss on positions that remain open.

If you buy something for £100 and its current value is £105, you have £5 of unrealised profit until you sell it.

### Mark-to-market

Valuing a position using current market prices.

This makes unrealised gains and losses appear in the portfolio's current value.

### Return

The gain or loss on an investment relative to its initial value.

A simple return is:

$$ R = \frac{P_1 - P_0}{P_0} $$

### Log return

An alternative definition of return:

$$ r = \ln\left(\frac{P_1}{P_0}\right) $$

Log returns add across time periods, which makes multi-period calculations simpler.

### CAGR

**Compound Annual Growth Rate.**

The constant annual growth rate that would produce the same total return over a period.

### Hit rate

The proportion of trades that are profitable.

A strategy can have a low hit rate and still be profitable if its winning trades are sufficiently larger than its losing trades.

### Payoff ratio

The average size of winning trades divided by the average size of losing trades.

### Sharpe ratio

A widely used measure of risk-adjusted return:

$$ \text{Sharpe} = \frac{\text{Excess Return}}{\text{Volatility of Returns}} $$

where excess return is the return above the risk-free rate. It is usually annualised.

A higher Sharpe means more return per unit of volatility.

### Sortino ratio

Similar to the Sharpe ratio, but penalises only downside volatility rather than all volatility.

### Information ratio

Active return relative to a benchmark, divided by the volatility of that active return.

### Drawdown

The decline in portfolio value from a previous peak.

### Maximum drawdown

The largest peak-to-trough decline over a period.

### Turnover

In a strategy context, the amount of trading required to maintain the portfolio.

High turnover means greater sensitivity to execution costs.

### Capacity

The amount of capital a strategy can deploy before its own trading materially reduces its returns.

For example, a strategy trading small, illiquid stocks may work at £100,000 but not at £1 billion.

## 3. Risk

### Risk

The possibility that actual outcomes differ unfavourably from expected outcomes.

### Volatility

A measure of how much prices or returns fluctuate.

It is usually measured as the standard deviation of returns, often annualised.

### Historical volatility

Volatility estimated from past price movements.

### Implied volatility

The volatility that, when inserted into an option-pricing model, produces the option's observed market price.

It can be read as the market's expectation of future volatility embedded in option prices.

### Leverage

Using borrowed capital or derivatives to obtain exposure larger than the capital committed.

Leverage amplifies both gains and losses.

### Margin

Collateral that must be posted to support leveraged or derivative positions.

### Margin call

A requirement to post additional collateral because existing margin is no longer sufficient.

### Value at Risk / VaR

A statistical estimate of potential portfolio loss over a specified horizon and confidence level.

A one-day 99% VaR is a loss threshold expected to be exceeded on roughly 1% of days, under the model's assumptions.

VaR is a threshold, not the worst possible loss, and says nothing about how large losses beyond it can be.

### Expected Shortfall / ES

The expected loss given that losses exceed the VaR threshold.

It describes the severity of losses in the tail rather than only the threshold.

### Tail risk

Risk arising from rare but extreme outcomes.

### Counterparty risk

The risk that another party to a transaction fails to meet its obligations.

### Credit risk

The risk that a borrower or issuer fails to repay money owed.

### Market risk

Risk arising from adverse changes in market prices.

### Liquidity risk

The risk that a position cannot be traded quickly enough, or in sufficient size, without substantial losses.

### Model risk

The risk that decisions based on a model are wrong because the model is incorrect, incomplete, poorly implemented or used outside the conditions where it works.

Part of [Glossary Index](/blog/glossary-index) · Previous: [Market Microstructure & Trading Strats](/blog/glossary-index/glossary-market-microstructure-and-trading-strats) · Next: [Statistics & QR](/blog/glossary-index/glossary-stats-and-qr)
