What is the Daily Average Option in a Fixed Indexed Annuity
What is the Daily Average Option in a Fixed Indexed Annuity
Jason Stolz CLTC, CRPC, DIA, CAA
Point-to-point pricing uses two numbers — where the index started, where it ended. Monthly average uses twelve. Daily average uses roughly 252, one for every trading day the market is open across the year. More data points sounds like it should mean a fairer, steadier result, and in a genuinely volatile, directionless market, it often does. But in a market that simply climbs steadily all year — the scenario most people actually picture when they think about “the market going up” — averaging 252 daily readings against a single rising line produces a smaller credit than point-to-point, not a more generous one, and daily average takes that effect further than any other crediting method built.
Jason Stolz, CLTC, CRPC, DIA, CAA, is Chief Underwriter at Diversified Insurance Brokers and has walked clients through exactly this kind of math often enough to know where the marketing language around “smoothing” tends to get ahead of what the formula actually does. As an independent annuity broker working across the full carrier landscape, our office can show you precisely how a daily average strategy would have credited against the same index and the same cap rate under a point-to-point design, using real historical index paths rather than a generic description of what averaging is supposed to do.
Comparing a daily average strategy against point-to-point on the same contract? Let’s see the actual difference.
Compare Crediting Methods
| Index Path Over the Year | Point-to-Point (2 readings) | Monthly Average (12 readings) | Daily Average (~252 readings) |
|---|---|---|---|
| Climbs steadily all year, ends up 12% | Credits close to the full 12% (up to cap) | Credits noticeably less — the average sits below the year-end value | Credits the least of the three — the fullest averaging effect |
| Spikes up early, drifts down, ends flat | Credits close to 0% — the early gain is gone by year-end | Can credit a modest positive amount — early strength lifts the average | Often credits the most of the three — the early spike is fully captured in the average |
| Falls sharply in the final weeks, otherwise flat | Credits 0% — the late drop defines the ending value | Some protection — only the final month or two pulls the average down | The most protection — a late drop barely moves an average built from 252 readings |
| Choppy all year, no clear trend, ends slightly up | Credits the modest net gain | Result varies with where the monthly readings happened to land | Result depends on the full path, not just twelve snapshots of it |
Scenarios above are illustrative only and don’t represent a specific product, index, or currently offered rate.
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The Mechanic, Precisely
A daily average strategy records the index’s closing value on every trading day across the crediting period, roughly 252 readings in a typical one-year term, and sums them together. That sum is divided by the number of trading days to produce a single daily average index value for the term. That average — not the index’s actual value on the last day of the term — is what gets compared against the index’s value on the first day of the term to determine the percentage change, which is then subject to whatever cap, participation rate, or spread governs the strategy. On a day the market is closed, such as when a contract anniversary lands on a weekend, the carrier typically uses the most recent prior trading day’s closing value rather than skipping that date entirely.
The distinction from monthly average is one of degree, not kind — both methods compare an average to a starting value instead of comparing two single points. Daily average simply samples far more finely, replacing twelve monthly snapshots with roughly 252 daily ones.
What Averaging Actually Does, Stated Plainly
Averaging methods are commonly described as “smoothing volatility,” and that phrase, while not wrong, tends to obscure the more concrete and more important fact: in a year where the index climbs steadily from start to finish, an average of the readings along the way will always sit below the final, highest value, because most of those readings were taken while the index was still lower than where it ultimately ended up. Averaging doesn’t protect you from volatility in a rising market so much as it structurally discounts the gain, because the calculation is built on the path the index took to get there rather than only the destination.
Daily average carries this effect to its logical extreme. Because it samples roughly twenty times more often than monthly average, a steady, sustained climb produces an average that sits even further below the year-end peak than a monthly average would, simply because there are more early, lower readings diluting the final number. In the first row of the table above, this is exactly what plays out: point-to-point captures nearly the full climb, monthly average captures noticeably less of it, and daily average captures the least of the three.
Where Daily Average Can Actually Win
The fine print in that trade-off is that the same heavy averaging that discounts a steady climb becomes a genuine advantage in a specific, different kind of year: one where the index moves favorably at some point and then gives some or all of it back before the term ends. The second and third rows of the table above show this directly. If the index spikes early and fades, a point-to-point measurement, which only looks at the start and the end, captures none of that early strength — but a daily average, built from hundreds of readings taken throughout the year, has already baked a large share of that early spike into its average, and credits accordingly even though the index itself finished the year essentially flat. The same logic applies in reverse to a late-year decline: a sharp drop concentrated in the final weeks of a term barely moves an average built from 252 data points, while it can erase an entire year’s gain under a point-to-point design that only cares about the final reading.
This is the honest trade daily average actually offers: meaningfully less upside captured in a steady bull market, in exchange for meaningfully more protection against a specific kind of bad timing — a strong move that partially reverses before the measurement date arrives.
Want to see how a daily average strategy would have performed against a real historical market path?
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How Common This Method Actually Is
Daily average sits well down the list of crediting methods most buyers will encounter, behind point-to-point and monthly average in general availability, and it’s worth setting expectations accordingly rather than assuming every carrier offers it. Where it does appear, it’s typically one option among several on a given product rather than the only crediting choice available, and it’s frequently paired with a cap or participation rate set specifically for that strategy, distinct from the cap or participation rate offered on the same carrier’s point-to-point option on the identical index. Comparing those two numbers side by side, not just assuming one method is a straightforward upgrade or downgrade of the other, is worth doing before choosing between them.
How the Crediting Period Interacts With Daily Averaging
Daily average is a method for calculating a credit; it still runs on a crediting period the same way any other strategy does — commonly one year, defining exactly which 252 or so trading days get included in that year’s average. Our full explanation of how a crediting period actually works covers that timing structure in depth, including what happens if you need to access funds before a period completes, which applies to a daily average strategy exactly as it would to any other.
Where This Fits Among the Broader Set of Crediting Options
Daily average is one entry in a wider menu most fixed indexed annuities offer. Our overviews of cap rates, participation rates, and spread rates cover the formulas most commonly paired with daily averaging, and our broader look at indexed annuity crediting methods ties the full lineup together, including point-to-point and monthly averaging for direct comparison. If you’re weighing whether a market environment favors certainty over averaging entirely, our pages on the performance trigger and inverse trigger strategies cover a genuinely different family of crediting formulas built around a fixed rate rather than any form of averaging.
Who Genuinely Benefits From a Daily Average Strategy
A buyer who’s less concerned about capturing the full upside of a smooth, sustained bull market and more concerned about being penalized by a bad measurement date after a genuinely strong stretch is the clearest fit for daily averaging. It suits someone comfortable trading away some participation in the most favorable, steadily-climbing market years for meaningfully better protection against a late reversal or an early spike that fades before the term ends. It fits poorly for a buyer whose primary expectation is a steady, grinding climb over the measurement period, since that’s precisely the scenario daily average captures the least of, compared to point-to-point or even monthly average.
How We Help
We run the actual comparison, method against method, on real historical index paths rather than describing what averaging is supposed to do in general terms. Before you choose a daily average strategy over point-to-point or monthly average, we’ll show you how each would have credited across genuinely different market years, so the decision reflects real numbers rather than an assumption about what “smoothing” means in practice.
Our broader guidance on choosing the right annuity and genuine annuity suitability reflects the same discipline we bring to this specific comparison. If you already hold an indexed annuity and have never confirmed which crediting method your allocation actually runs on, our second-opinion review is built for exactly that question, and if the answer points toward a different contract entirely, our guide on replacing an annuity the right way walks through that decision honestly.
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What is the daily average crediting method in a fixed indexed annuity?
Daily average records the index’s closing value on every trading day across the crediting period, roughly 252 readings in a typical one-year term, and sums them together. That sum is divided by the number of trading days to produce a single daily average index value for the term. That average, not the index’s actual value on the last day, is what gets compared against the index’s starting value to determine the percentage change, which is then subject to whatever cap, participation rate, or spread governs the strategy. It’s the same basic concept as monthly averaging, sampled far more finely, roughly twenty times as often.
Does daily averaging give me a better return than point-to-point?
Not in a steadily rising market — that’s the most common misunderstanding about this method. Averaging is often described as “smoothing volatility,” but the more concrete effect is that in a year where the index climbs steadily from start to finish, an average of the readings along the way will always sit below the final, highest value, because most of those readings were taken while the index was still lower than where it ended up. Daily average carries this effect further than any other method, since it samples roughly twenty times more often than monthly average, meaning a steady climb produces the smallest credited amount of the three main crediting approaches in that specific scenario.
When does daily averaging actually outperform point-to-point?
When the index moves favorably at some point during the term and then gives some or all of it back before the term ends. A point-to-point measurement only looks at the starting and ending values, so an early spike that fades by year-end credits close to nothing. A daily average, built from hundreds of readings taken throughout the year, has already captured a large share of that early strength in its average and credits accordingly, even though the index itself finished flat. The same logic applies to a sharp decline concentrated in the final weeks of a term, which barely moves an average built from 252 data points, while it can erase an entire year’s gain under a point-to-point design.
How is daily average different from monthly average?
The difference is one of degree, not kind. Both methods compare an average of readings taken throughout the term against the starting value, rather than comparing two single points the way point-to-point does. Monthly average uses twelve readings, typically the index value at the end of each month. Daily average uses roughly 252 readings, one for nearly every trading day the market is open. That finer sampling makes daily average discount a steady rising market more heavily than monthly average does, but it also provides more protection against a sharp, late-term move than monthly average offers, since more data points dilute the impact of any single period’s movement.
Is daily averaging a common crediting method on fixed indexed annuities?
Not as common as point-to-point or monthly average, and it’s worth setting expectations accordingly. Where daily average does appear, it’s typically one option among several on a given product rather than the only crediting choice available, and it’s frequently paired with a cap or participation rate set specifically for that strategy, distinct from the cap or participation rate offered on the same carrier’s point-to-point option on the identical index. Comparing those two numbers side by side is worth doing before assuming one method is simply an upgrade or downgrade of the other.
What happens if the market is closed on my contract anniversary date?
Carriers typically use the most recent prior trading day’s closing value rather than skipping that date from the calculation. If a contract anniversary falls on a weekend when markets are closed, for example, the closing value from the last trading day before that weekend is generally used as the relevant reading for that date. This is a standard operational detail across most daily average designs, not something specific to any one carrier.
Who should actually consider a daily average crediting strategy?
A buyer who’s less concerned about capturing the full upside of a smooth, sustained bull market and more concerned about being penalized by a bad measurement date after a genuinely strong stretch is the clearest fit. It suits someone comfortable trading away some participation in the most favorable, steadily-climbing market years for meaningfully better protection against a late reversal or an early spike that fades before the term ends. It fits poorly for a buyer whose primary expectation is a steady, grinding climb over the measurement period, since that’s precisely the scenario daily average captures the least of, compared to point-to-point or even monthly average.
About the Author:
Jason Stolz, CLTC, CRPC, DIA, CAA and Chief Underwriter at Diversified Insurance Brokers (NPN 20471358), is a senior insurance and retirement professional with more than 25 years of real-world experience helping individuals, families, and business owners protect their income, assets, and long-term financial stability. As a long-time partner of the nationally licensed independent agency Diversified Insurance Brokers, Jason provides trusted guidance across multiple specialties—including fixed and indexed annuities, long-term care planning, personal and business disability insurance, life insurance solutions, Group Health, Travel Medical and Evacuation Insurance, and short-term health coverage. Diversified Insurance Brokers maintains active contracts with over 100 highly rated insurance carriers, ensuring clients have access to a broad and competitive marketplace.
His practical, education-first approach has earned recognition in publications such as VoyageATL, and contributions from his agency featured in Kiplinger and GoBankingRates— highlighting his commitment to financial clarity and client-focused planning. Drawing on deep product knowledge and years of hands-on field experience, Jason helps clients evaluate carriers, compare strategies, and build retirement and protection plans that are both secure and cost-efficient. Visitors who want to explore current annuity rates and compare options across multiple insurers can also use this annuity quote and comparison tool.
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Last Reviewed: August 30, 2026 |
Reviewed by: Jason Stolz, CLTC, CRPC, DIA, CAA
Chief Underwriter, Diversified Insurance Brokers, Inc. | NPN: 20471358 | Diversified Insurance Brokers, Inc. — Licensed in all 50 states
Fact Checked by: Tonia Pettitt, CMIP©
Medicare Specialist, Diversified Insurance Brokers, Inc. | NPN: 14374308 | Diversified Insurance Brokers, Inc. — Licensed in all 50 states
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