Learn how to evaluate interest rate, currency, and commodity swaps at inception when their fair value is zero, and discover practical approaches to marking them to market during their lifespan.
Swaps, in many ways, remind me of that moment when you and a friend agree to trade baseball cards every few weeks—except these trades keep going on for months or even years. You lock in the terms at the start, you both anticipate fair exchanges, and you hope that the arrangement stays equitable over time. In the world of derivatives, a swap can be viewed similarly: at inception, it usually looks like a fair deal, with equal value on both sides. But as market conditions shift, the swap’s value can tilt favorably to one party and become a liability to the other.
In this section, we’ll explore how we value swaps at initiation (when the swap typically has zero net present value) and then how we continue to assess their value as market conditions change. We’ll focus on interest rate swaps, but we’ll also look at conceptual carryovers for currency, commodity, and even equity swaps. This discussion builds on concepts of discounting, zero-coupon curves, and forward rates—some of which you might have already seen in futures and forward contract valuation.
Swaps have become essential tools for institutions and corporations wanting to manage interest rate risk, lock in currency exposures, or gain exposures to equity and commodity markets without actually holding those assets. Although the concept seems straightforward—one party pays a fixed rate and receives a floating rate—valuing these deals can get a little tricky. But fear not: we’ll unpack each piece step by step.
Before diving in, let’s examine some core terms that will frame our discussion:
• Mark-to-Market (MTM): The process of assigning a current market value to each swap position.
• Present Value of the Floating Leg: The discounted sum of future floating payments, which typically resets near par value right after a payment is determined.
• Discount Factor: A rate used to convert a future cash flow to its present value. These come from the term structure of interest rates (the yield curve) or from zero-coupon bond prices.
• Yield Curve Shift: A movement in interest rates across maturities, altering the valuation of interest rate swaps.
• Spot vs. Forward: Pertinent in determining future floating rates or exchange rates for currency and commodity swaps.
• Credit Valuation Adjustment (CVA): An adjustment reflecting the counterparty’s creditworthiness, more relevant in over-the-counter (OTC) swaps.
You might ask, isn’t a swap’s value only important at maturity, when the final payments are swapped? Actually, it matters a lot throughout the contract’s life:
• Counterparty Credit Risk: If your swap has a large positive value, you bear the risk that your counterparty might default (especially with OTC contracts).
• Balance Sheet and Regulatory Requirements: Financial institutions must mark their swap positions to market and maintain capital against potential losses.
• Risk Management: Daily risk monitoring and hedging activities typically require revalued positions to make sure exposures don’t exceed limits or cause portfolio imbalances.
So yes, even though you might not be exchanging physical assets under a swap (except in a currency swap), the daily or periodic mark-to-market updates are vital.
When an interest rate swap (IRS) is created, the standard assumption is that its value is zero to both parties. But why is that the case? We set the fixed rate on the swap such that the present value (PV) of the expected fixed leg cash flows equals the PV of the expected floating leg cash flows. Let’s walk through this logic:
• The fixed leg typically involves a series of fixed payments, each calculated as (swap fixed rate × notional × day count fraction).
• The floating leg’s payments vary according to a specified reference rate (e.g., LIBOR, or more recently a risk-free rate like SOFR), reset at set intervals.
• We discount both sets of cash flows using the appropriate discount factors derived from the current yield curve.
Imagine you’re paying fixed and receiving floating. The swap’s initial fixed rate is set so that:
( Present Value of Fixed Leg ) = ( Present Value of Floating Leg )
If these two are equal, then each side enters the swap at par, so to speak. A typical formula for the fixed rate (Rᵧ) at swap initiation is:
Rᵧ ≈ (1 – Discount Factor at maturity) / Sum of Discount Factors
(This formula can vary slightly by day count conventions and payment frequencies, but you get the point.)
So, at the start, the net PV is zero—like exchanging baseball cards of equal value. If forward curves or discount rates shift the next day, that initial equilibrium can break.
The second we get past initiation, the world keeps spinning, rates change, floating resets occur, and the swap’s value typically migrates away from zero. If you’re paying 5% fixed and floating rates shoot up to 7%, you’ll soon be on the losing end of that swap. Conversely, if interest rates drop, the fixed-rate payer might see the swap become an asset.
From a purely mechanical standpoint, you’d do something like this:
If you recall from forwards: “Value” can be negative or positive. If the net present value is positive, the swap is an asset to you; if it’s negative, it’s a liability.
Right after a floating payment resets, the floating leg theoretically becomes “par” again, because the floating rate is aligned with the current short-term interest rate for that payment period. In simpler terms, you’ve got as fair a floating rate as the market can provide at that moment. Over time, though, as the yield curve changes or you move further into the accrual period, that leg deviates from par—leading to a non-zero swap value.
MTM ensures we’re always measuring how the swap’s fair value moves with changes in the yield curve, credit spreads, or the underlying reference asset (for equity or commodity swaps). If you’ve ever been comfortable with the idea of marking a stock portfolio to market daily, you can think of swaps similarly: each day, we recalculate the expected future cash flows and discount them.
Banks use these MTM values in their profit-and-loss (P&L) statements. Clearinghouses, if the contract is exchange-traded or cleared through a central counterparty, also use daily mark-to-market to set variation margin requirements. This helps reduce credit risk because any significant shift in your swap’s value might call for immediate margin top-ups.
Here’s a short rundown, in case you want a crisp to-do list. Let’s assume you’re paying fixed, receiving floating:
Incidentally, if you’re receiving fixed and paying floating, it’s simply the other way around (Fixed – Floating).
Let’s do a miniature example. Suppose on Day 1, you agree to pay 5% fixed, receive 6-month LIBOR. The notional is $1 million. Semiannual payments for 2 years. The discount factors for the next four semiannual periods are:
• 0.5-year discount factor: 0.98
• 1.0-year discount factor: 0.95
• 1.5-year discount factor: 0.92
• 2.0-year discount factor: 0.88
Now, if you were to set the swap at a fair rate (just hypothetical numbers here), you’d solve for that rate so that the present value of fixed cash flows = present value of floating. Maybe your solution is around 5%. So at inception, the net value is $0. Great.
But let’s say 3 months into the swap, interest rates spike upward. Now the 6-month LIBOR forecast is higher than it used to be. The PV of your floating receipts might exceed the PV of your fixed payments. You’d then have a positive value if you’re receiving floating. Good for you, but that also increases your counterparty’s credit risk to you.
The same broad valuation principles apply to currency and commodity swaps, though the details can differ a bit:
• Currency Swaps: You discount each currency’s cash flows at its own yield curve, forecast the currency exchange rate as needed, and net out the present values.
• Commodity Swaps: You project commodity prices (often referencing forward commodity curves) and discount at the appropriate interest rates.
In both cases, the floating leg might be pegged to an index (like WTI for crude oil or an FX rate), while the fixed leg is a predetermined price or exchange rate.
It often helps to visualize the flow of payments in a vanilla interest rate swap. Here’s a quick mermaid diagram:
flowchart LR A["Fixed-Rate Payer"] -- "Periodic Fixed Payments" --> B["Floating-Rate Payer"] B -- "Periodic Floating Payments" --> A
You can see that the floating-rate payer (on the right) sends floating-rate payments to the fixed-rate payer (on the left). The fixed-rate payer sends fixed-rate payments in return.
In an OTC environment, you might come across CVA. Maybe you’re familiar with me moaning about how complex it used to feel. In essence, CVA adjusts the fair value of the swap to account for the probability that the counterparty won’t fully meet its obligations. If I have $10 million in net gains on a swap that’s all bilateral, I need to discount that with a probability factor or a spread measure to reflect the risk of default. Similar logic applies to Debit Valuation Adjustment (DVA) on your own credit risk, but that’s a separate conversation.
• Interest Rate Movements: Shifts in the yield curve alter discount factors and forward rates.
• Credit Spread Changes: If your counterparty’s creditworthiness deteriorates, your swap’s net value might be adjusted for CVA.
• Market Expectations: If the floating reference rates for future periods are expected to move significantly, your floating leg’s projected payments can jump.
• Underlying Asset Prices: For equity or commodity swaps, the price of the underlying reference influences how future cash flows are calculated.
• Improper Discounting: Some practitioners forget that each cash flow might require a different discount factor because it occurs at a different time.
• Day-Count Conventions: Failing to handle these properly can cause minor (or sometimes glaring) valuation errors.
• Ignoring the Floating Leg’s Reset Features: Right after the floating rate is reset, it’s crucial to treat that portion of the swap at par.
• Overlooking Credit Adjustments: If evaluating an OTC swap in a real-world environment, ignoring credit risk can overstate your asset’s value.
I once consulted for a mid-sized energy company that entered a 5-year pay-fixed, receive-floating interest rate swap to hedge its floating-rate debts. At initiation, the swap was an even trade, adding no immediate gain or loss. Two years later, interest rates had dropped. Because the company was paying a relatively higher fixed rate, the swap had become a liability. In effect, the company was locked into paying 5% when new loans were going for 3%. But from a hedging perspective, that was okay—although the swap itself lost value, the company’s floating-rate debt costs had come down, offsetting the loss on the swap. This is a classic demonstration of hedging synergy.
If you’re curious about actually coding the valuation, you’d typically do something like this in Python (a snippet):
1import math
2
3def present_value(cash_flows, discount_factors):
4 # cash_flows and discount_factors are lists of the same length
5 # each item in discount_factors is the DF for that period
6 pv_val = 0
7 for cf, df in zip(cash_flows, discount_factors):
8 pv_val += cf * df
9 return pv_val
10
11fixed_leg_cf = [50000, 50000, 50000, 1050000] # last includes principal if needed
12disc_factors = [0.98, 0.95, 0.92, 0.88]
13
14pv_fixed_leg = present_value(fixed_leg_cf, disc_factors)
15print("PV of Fixed Leg:", pv_fixed_leg)
In reality, the logic for computing the floating leg is a bit more advanced, since you’d forecast each floating rate payment from the forward curve. But the structure, discount, and sum approach remain consistent.
• Practice: Know how to set up your discount factors and how to handle day counts.
• Draw Timelines: Sketch out payment schedules to keep track of each leg’s cash flows.
• Watch for Netting: Real-world swap documentation often includes netting provisions.
• Understand Revaluation Events: Right after the floating rate resets, the floating portion might revert to near par.
• CVA Considerations: Take note of how credit risk might impact the swap’s fair value—some exam questions might include mention of credit spreads or default probabilities.
• Hull, John C. “Options, Futures, and Other Derivatives.”
• Duffie, Darrell and Kenneth J. Singleton. “Credit Risk: Pricing, Measurement, and Management.”
• Clearinghouse Documents: LCH, CME Clearing for daily swap valuation procedures.
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