Free CAIA Level I Formula Sheet (2026)

Every CAIA Level I formula you need on the test, grouped by topic and rendered with full math notation. 91 formulas across 5 topics, calibrated to the 2026 syllabus. Free forever, no signup required.

91 formulas 5 topics 2026 syllabus Free forever
Print-ready PDF: 1080x1350 portrait, math pre-rendered, fonts embedded. Download once, study anywhere.
Download PDF →

All CAIA Level I Formulas

Introduction to Alternative Investments 49 items
Annual Hedge Fund Fee
Fee=m+i max⁡[0, RHWM−m−h]\text{Fee} = m + i\,\max\left[0,\ R_{HWM} - m - h\right]
Management fee m plus incentive rate i applied to the gross return above the high-water mark, net of the fee and hurdle h.
Incentive Fee as a Call Option
Incentive=i max⁡[ENAV−BNAV, 0]\text{Incentive} = i\,\max\left[\text{ENAV} - \text{BNAV},\ 0\right]
The incentive fee behaves like a call on NAV struck at the beginning NAV or high-water mark, whichever is greater.
At-the-Money Incentive Fee Value
Incentive≈i×0.40×NAV×σ\text{Incentive} \approx i \times 0.40 \times \text{NAV} \times \sigma
Approximate value of an at-the-money incentive fee; it rises directly with the fund's annual asset volatility.
Hedge Fund Fee with a Hard Hurdle
Incentive=i×(Profit−Hurdle)\text{Incentive} = i \times (\text{Profit} - \text{Hurdle})
Under a hard hurdle the incentive fee is charged only on profit exceeding the hurdle, not on the whole gain.
Carried Interest (No Hurdle)
Carry=c×(Ending NAV−Initial NAV)\text{Carry} = c \times (\text{Ending NAV} - \text{Initial NAV})
GP profit share when no hurdle or other terms apply: the carry rate c times the fund's total profit, its ending NAV minus its initial size.
GP Full Catch-Up (PE Waterfall)
Catch-up=H×c1−c\text{Catch-up} = \dfrac{H \times c}{1 - c}
After LPs receive capital plus hurdle profit H, the GP catches up so its carry equals rate c on total profit.
Hurdle Amount (Dollar)
H=rh×K×tH = r_h \times K \times t
Dollar preferred return the LPs receive before the GP's catch-up: the hurdle rate times the capital the LPs contributed, K, times the years held, t, when the hurdle does not compound.
Internal Rate of Return (IRR)
∑t=0TCFt(1+IRR)t=0\sum_{t=0}^{T} \dfrac{CF_t}{(1+\text{IRR})^{t}} = 0
Discount rate that sets the net present value of a deal's cash-flow stream (outflows negative) to zero.
Modified IRR (MIRR)
MIRR=(FV(distributions)PV(contributions))1/T−1\text{MIRR} = \left(\dfrac{FV(\text{distributions})}{PV(\text{contributions})}\right)^{1/T} - 1
Compounds distributions at a realistic reinvestment rate and discounts contributions, fixing the IRR's reinvestment flaw.
DPI (Distributions to Paid-In)
DPI=∑Dt∑Ct\text{DPI} = \dfrac{\sum D_t}{\sum C_t}
Realized multiple: cumulative distributions per dollar of capital called; above 1 means more cash returned than invested.
RVPI (Residual Value to Paid-In)
RVPI=NAV∑Ct\text{RVPI} = \dfrac{\text{NAV}}{\sum C_t}
Unrealized multiple: residual fund NAV per dollar of paid-in capital; mark-based and subject to valuation risk.
TVPI (Total Value to Paid-In)
TVPI=∑Dt+NAV∑Ct=DPI+RVPI\text{TVPI} = \dfrac{\sum D_t + \text{NAV}}{\sum C_t} = \text{DPI} + \text{RVPI}
Total value multiple per dollar paid in; the sum of realized (DPI) and unrealized (RVPI) value.
Sample Variance
σ2=1n−1∑i(Ri−R‾)2\sigma^2 = \dfrac{1}{n-1} \sum_i (R_i - \overline{R})^2
Average squared deviation from the mean; the n-1 denominator corrects bias when the mean is estimated from the sample.
Standard Deviation
σ=σ2\sigma = \sqrt{\sigma^2}
Square root of variance; the volatility measure used interchangeably with total return risk.
Covariance
Cov(Ri,Rj)=E[(Ri−μi)(Rj−μj)]\text{Cov}(R_i, R_j) = \mathrm{E}\left[(R_i - \mu_i)(R_j - \mu_j)\right]
Average co-movement of two return series; the sample estimator divides summed cross-deviations by T-1.
Correlation Coefficient
ρij=σijσi σj\rho_{ij} = \dfrac{\sigma_{ij}}{\sigma_i\,\sigma_j}
Covariance scaled by the two standard deviations; bounded between -1 and +1 for easy interpretation.
Skewness
Skew=E[(R−μ)3]σ3\text{Skew} = \dfrac{\mathrm{E}\left[(R - \mu)^3\right]}{\sigma^3}
Standardized third moment; positive means a longer right tail, negative a longer left tail of returns.
Excess Kurtosis
Excess Kurt=E[(R−μ)4]σ4−3\text{Excess Kurt} = \dfrac{\mathrm{E}\left[(R - \mu)^4\right]}{\sigma^4} - 3
Kurtosis minus 3 (the normal's value); positive signals fat tails and more frequent extreme returns.
Beta
βi=Cov(Ri,Rm)σm2=ρim σiσm\beta_i = \dfrac{\text{Cov}(R_i, R_m)}{\sigma_m^2} = \dfrac{\rho_{im}\,\sigma_i}{\sigma_m}
Systematic risk: covariance with the market over market variance, equivalently correlation times the volatility ratio.
Portfolio Variance
σp2=∑i∑jwiwj Cov(Ri,Rj)\sigma_p^2 = \sum_i \sum_j w_i w_j\,\text{Cov}(R_i, R_j)
Total portfolio variance as the weighted sum of every pairwise covariance among the holdings.
Volatility Time-Scaling (square root of time)
σT=σ1T\sigma_T = \sigma_1 \sqrt{T}
Annualizes volatility for i.i.d. returns; variance scales linearly with T, so std dev scales with its square root.
Zero-Coupon Bond Price
B(t)=FV(1+rt)tB(t) = \dfrac{FV}{(1 + r_t)^{t}}
Prices a zero by discounting face value at the annual spot rate; use (1+r/m) to the mt power for m-times compounding.
Spot Rate from a Zero-Coupon Bond Price
rt=(FVB(t))1/t−1r_t = \left(\dfrac{FV}{B(t)}\right)^{1/t} - 1
Backs out the annual zero-coupon (spot) rate implied by an observed bond price; the term-structure building block.
Fisher Equation (After-Tax)
i=r+π1−τi = r + \dfrac{\pi}{1 - \tau}
Nominal rate built from the real rate and inflation, grossed up by the income tax rate; with no tax the inflation term is simply added.
Implied Forward Rate (annual compounding)
F(t,T)=[(1+rT)T(1+rt)t]1/(T−t)−1F(t,T) = \left[\dfrac{(1 + r_T)^{T}}{(1 + r_t)^{t}}\right]^{1/(T-t)} - 1
No-arbitrage forward rate between two future dates t and T derived from the annual-compounded spot curve.
Implied Forward Rate (maturity-weighted)
Ft,T=T rT−t rtT−tF_{t,T} = \dfrac{T\,r_T - t\,r_t}{T - t}
Forward (FRA) rate as the maturity-weighted spread between the long and short spot rates; continuous-compounding form.
Macaulay Duration
D=∑tt Ct(1+y)tP0D = \dfrac{\sum_t \dfrac{t\,C_t}{(1+y)^t}}{P_0}
Present-value-weighted average time to receive a bond's cash flows; its effective-maturity measure.
Modified Duration
Dmod=D1+y/mD_{mod} = \dfrac{D}{1 + y/m}
Scales Macaulay duration for discrete compounding to give the percentage price change per unit change in yield.
Portfolio Duration
Dp=∑iwiDiD_p = \sum_i w_i D_i
Market-value-weighted average of the component bonds' durations; the bond portfolio's interest-rate sensitivity.
Capital Asset Pricing Model (CAPM)
E(Ri)=Rf+βi[E(Rm)−Rf]E(R_i) = R_f + \beta_i\left[E(R_m) - R_f\right]
Single-factor required return: the risk-free rate plus beta times the market risk premium.
Regression t-Statistic
t=∣θ^∣sθ^t = \dfrac{|\hat{\theta}|}{s_{\hat{\theta}}}
Tests whether an estimated alpha or beta differs from zero by comparing the estimate to its standard error.
Jensen's Alpha
αp=E(Rp)−Rf−βp[E(Rm)−Rf]\alpha_p = E(R_p) - R_f - \beta_p\left[E(R_m) - R_f\right]
Expected return above the CAPM benchmark; the ex-ante forecasted alpha, also the intercept of an excess-return regression.
Realized (Ex-Post) Alpha
α=(Rp−Rf)−βp(Rm−Rf)\alpha = (R_p - R_f) - \beta_p(R_m - R_f)
Alpha from realized returns; its gap from forecasted alpha helps separate manager skill from luck.
Forward Price of a Default-Free Zero-Coupon Bond
Ft,T=K×P0,TP0,tF_{t,T} = K \times \dfrac{P_{0,T}}{P_{0,t}}
No-arbitrage forward price to deliver a default-free zero, from the ratio of far- to near-dated spot zero prices.
Commodity Forward Price (Cost of Carry)
FT=P0 e(r+c−y)TF_T = P_0\, e^{(r + c - y)T}
Spot grown by net carry: financing rate plus storage cost minus convenience yield (an upper bound under short-sale limits).
Mark-to-Market Value of a Forward
Vt=Pt e(r+c−y)(T−t)−F0V_t = P_t\, e^{(r+c-y)(T-t)} - F_0
Marks a long forward to market as the carried spot value of the deliverable minus the locked-in original forward price.
Put-Call Parity
C+B−P=SC + B - P = S
Long call plus a bond (PV of strike) minus a put equals the underlying; the basis for collars and synthetic positions.
Black-Scholes Call Option
c=S N(d1)−K e−rTN(d2)c = S\,N(d_1) - K\,e^{-rT} N(d_2)
European call without dividends; N(d1) and N(d2) are cumulative-normal terms and the put follows from put-call parity.
Parametric VaR
VaR=Z×σ×Days×Value\text{VaR} = Z \times \sigma \times \sqrt{\text{Days}} \times \text{Value}
Scales one-day volatility to the horizon by the square root of time at z-score Z, assuming a zero mean return.
Sharpe Ratio
SR=E(Rp)−RfσpSR = \dfrac{E(R_p) - R_f}{\sigma_p}
Excess return per unit of total risk; best for evaluating a stand-alone portfolio rather than an added position.
Treynor Ratio
TR=E(Rp)−RfβpTR = \dfrac{E(R_p) - R_f}{\beta_p}
Excess return per unit of systematic risk (beta); suited to an asset added to a well-diversified portfolio.
Sortino Ratio
Sortino=E(Rp)−RTDD\text{Sortino} = \dfrac{E(R_p) - R_{T}}{\text{DD}}
Like Sharpe but measures excess return over target RTR_T against downside deviation DD, penalizing only downside risk.
Information Ratio
IR=E(Rp)−RBTEIR = \dfrac{E(R_p) - R_{B}}{TE}
Active return over benchmark B divided by tracking error TE; excess return per unit of active-return volatility.
Return on VaR (RoVaR)
RoVaR=E(Rp)VaR\text{RoVaR} = \dfrac{E(R_p)}{\text{VaR}}
Expected return scaled by value at risk; useful when VaR captures the relevant downside of the distribution.
M-Squared (M2)
M2=Rf+σmσp[E(Rp)−Rf]M^2 = R_f + \dfrac{\sigma_m}{\sigma_p}\left[E(R_p) - R_f\right]
Risk-adjusted return a portfolio would earn if levered to the market's volatility; lets you compare at equal total risk.
Stale-Pricing Mean-Return Correction
μ∗=μ+1T(1−α)(r0−rT)\mu^{*} = \mu + \dfrac{1}{T}(1 - \alpha)\left(r_{0} - r_{T}\right)
Gives the mean of stale (appraisal-based) returns, μ∗\mu^{*}, from the true mean μ\mu: the two differ only through the first and last periods, so the gap shrinks as the sample lengthens.
Smoothing Effect on Observed Volatility
σ(r∗)=σ(r)N\sigma(r^{*}) = \dfrac{\sigma(r)}{\sqrt{N}}
Smoothing returns over N periods understates true volatility by the square root of N, biasing reported risk downward.
Portfolio Variance (Markowitz)
σp2=∑i=1n∑j=1nwiwj Cov(Ri,Rj)\sigma_p^2 = \sum_{i=1}^{n} \sum_{j=1}^{n} w_i w_j \, \text{Cov}(R_i, R_j)
Variance of a portfolio of n assets; through the covariance cross-terms, low correlation between holdings lowers portfolio variance.
Portfolio Variance (Uncorrelated Funds)
V(Rp)=∑i=1nwi2 Var(Ri)V(R_p) = \sum_{i=1}^{n} w_i^2 \, \text{Var}(R_i)
Special case for uncorrelated funds: the covariance cross-terms vanish, leaving only the weighted sum of each fund's own variance.
Real Assets 16 items
Land as a call option (binomial)
C0=p max⁡(Vu−K, 0)+(1−p) max⁡(Vd−K, 0)1+rfC_0 = \dfrac{p\,\max(V_u - K,\,0) + (1-p)\,\max(V_d - K,\,0)}{1 + r_f}
One-period binomial value of undeveloped land as a call; K is the development cost, p the risk-neutral up-probability.
Expected return of land
E(Rland)=p Rdev+(1−p) RundevE(R_{\text{land}}) = p\,R_{\text{dev}} + (1-p)\,R_{\text{undev}}
Probability-weighted expected return on land; p is the chance of development, blending the developed and undeveloped outcomes.
Direct capitalization value
V=NOICap RateV = \dfrac{\text{NOI}}{\text{Cap Rate}}
Values stabilized income property or farmland as a perpetuity of net operating income; NOI is income before financing costs and income taxes, with operating costs such as property taxes already deducted.
Capitalization rate
Cap Rate=NOIProperty Value\text{Cap Rate} = \dfrac{\text{NOI}}{\text{Property Value}}
Property income yield; implicitly Cap Rate = r - g, so a lower cap rate signals higher expected rent growth or lower risk.
Required return on real estate (build-up)
r=(1+Rf)(1+E(RLP))(1+E(RRP))−1r = (1+R_f)\left(1+E(R_{LP})\right)\left(1+E(R_{RP})\right) - 1
Build-up discount rate compounding the risk-free rate with liquidity and risk premiums; additive approx r = RfR_f + LP + RP.
DCF income approach (real estate)
V0=∑t=1nNOIt(1+r)t+Vn(1+r)nV_0 = \sum_{t=1}^{n} \dfrac{\text{NOI}_t}{(1+r)^t} + \dfrac{V_n}{(1+r)^n}
Income-approach value for non-stabilized property: discount projected NOI plus the terminal (reversion) value at the required return.
Gross income multiplier
GIM=Property PriceGross Income\text{GIM} = \dfrac{\text{Property Price}}{\text{Gross Income}}
Quick relative-value gauge; price per dollar of annual gross income, before vacancy and operating expenses.
Cash-on-cash return
CoC=NOI−Debt ServiceEquity Invested\text{CoC} = \dfrac{\text{NOI} - \text{Debt Service}}{\text{Equity Invested}}
Annual pre-tax cash flow per dollar of equity; leverage lifts it when the property yield exceeds the borrowing cost.
Development yield
Development Yield=Stabilized NOITotal Development Cost\text{Development Yield} = \dfrac{\text{Stabilized NOI}}{\text{Total Development Cost}}
Return on cost for a development; its spread over market cap rates measures the developer's profit margin.
Loan-to-value (LTV)
LTV=LoanProperty Value\text{LTV} = \dfrac{\text{Loan}}{\text{Property Value}}
Mortgage leverage gauge; first mortgages on stabilized commercial properties typically run 50 to 65 percent loan to value and usually do not exceed 75 percent.
Debt service coverage ratio (DSCR)
DSCR=NOIAnnual Debt Service\text{DSCR} = \dfrac{\text{NOI}}{\text{Annual Debt Service}}
Cash-flow cushion for lenders; loan covenants commonly require a DSCR of at least 1.25.
Cost of carry (commodity forward price)
F≤S e(r+c−y)TF \le S\,e^{(r + c - y)T}
Upper bound on a commodity forward: r is financing, c storage, y the convenience yield. Buying and storing the commodity caps the forward here; because a physical commodity is hard to short, the forward can sit below it.
Calendar spread
Calendar Spread=FT+t−FT\text{Calendar Spread} = F_{T+t} - F_T
Price gap between two delivery dates on the same commodity; widens or narrows as net carry shifts across maturities.
Fully collateralized commodity futures return
R=Spot Return+Collateral Yield+Roll YieldR = \text{Spot Return} + \text{Collateral Yield} + \text{Roll Yield}
CAIA decomposition of a fully collateralized futures position into spot change, cash collateral interest, and roll (basis) yield.
Hotelling's theory (commodity prices)
E(PT)=P0 erTE(P_T) = P_0\,e^{rT}
Exhaustible-commodity spot prices should drift up at roughly the risk-adjusted rate; technology gains make this an upper bound.
Basis (futures)
Basis=S−FT\text{Basis} = S - F_T
Spot minus forward; equal in size to the present value of net carrying costs but opposite in sign, and it converges to zero as the contract nears delivery.
Private Equity 9 items
Total Addressable Market (TAM) Valuation
Value=Industry Revenue×Market Share×Revenue Multiple\text{Value} = \text{Industry Revenue} \times \text{Market Share} \times \text{Revenue Multiple}
Top-down VC valuation: size the full market, apply the firm's expected capture share, then a price-to-sales multiple.
Venture Capital Method (operating income)
Value=EBITDA×EBITDA Multiple(1+IRR)T\text{Value} = \dfrac{\text{EBITDA} \times \text{EBITDA Multiple}}{(1 + \text{IRR})^{T}}
Values a later-stage venture by discounting a projected EBITDA-multiple exit value at the investor's high target return.
Post-Money Valuation
POST=PRE+Investment\text{POST} = \text{PRE} + \text{Investment}
Company value right after a financing round: the negotiated pre-money value plus the new capital injected.
VC Ownership Proportion
Ownership=InvestmentPOST\text{Ownership} = \dfrac{\text{Investment}}{\text{POST}}
Equity stake a new round's investor receives, before any dilution from future financing rounds.
Growth Equity Times-Revenue Method
Value=Annual Revenue×Revenue Multiple(1+IRR)T\text{Value} = \dfrac{\text{Annual Revenue} \times \text{Revenue Multiple}}{(1 + \text{IRR})^{T}}
Values a not-yet-profitable growth firm off a projected revenue-multiple exit, discounted back to today.
LBO Projected Exit Value
Exit Value=CFT(1+g)r−g\text{Exit Value} = \dfrac{CF_{T}(1 + g)}{r - g}
Terminal value at LBO exit via the Gordon growth model on the cash flow one year past the exit date.
LBO Equity Rate of Return
IRR=(Exit Equity ValueInitial Equity)1/T−1\text{IRR} = \left(\dfrac{\text{Exit Equity Value}}{\text{Initial Equity}}\right)^{1/T} - 1
Annualized return to the levered equity; more leverage widens the gap from the unlevered return.
Closed-End Fund Premium (or Discount)
Premium=Market PriceNAV−1\text{Premium} = \dfrac{\text{Market Price}}{\text{NAV}} - 1
Positive means the fund trades above NAV (premium), negative below (discount); usually quoted as a percentage.
Money-weighted return (IRR for PE funds)
∑t=0TCFt(1+IRR)t=0\sum_{t=0}^{T}\dfrac{CF_t}{(1 + \text{IRR})^t} = 0
The discount rate that zeros a PE fund's NPV; sensitive to LP cash-flow timing (the J-curve effect).
Private Debt 10 items
Credit Loss Rate
Credit Loss Rate=Default Rate×(1−Recovery Rate)\text{Credit Loss Rate} = \text{Default Rate} \times (1 - \text{Recovery Rate})
Expected annual default loss on a debt portfolio: default rate times loss given default (1 minus recovery).
Minimum Credit Spread Criterion
Credit Spread≥Credit Loss Rate+Risk Premium\text{Credit Spread} \geq \text{Credit Loss Rate} + \text{Risk Premium}
A distressed-debt spread must at least cover expected credit losses plus a premium for bearing default risk.
Fixed-Rate Mortgage Payment
MP=MB×i1−(1+i)−nMP = MB \times \dfrac{i}{1 - (1+i)^{-n}}
Level monthly payment that fully amortizes a mortgage; underpins MBS and CMO cash flows.
Mortgage Amortization Split
Principalt=MP−i Bt−1\text{Principal}_t = MP - i \, B_{t-1}
Each payment first pays interest (i x prior balance); the remainder amortizes principal and feeds sequential-pay CMO tranches.
PIK Accrued Balloon Balance
Balloon=P0 (1+r)n\text{Balloon} = P_0 \, (1+r)^{n}
Payment-in-kind interest compounds onto principal each year and is repaid as a single balloon at maturity.
Weighted Average Cost of Capital
WACC=∑iwi ri\text{WACC} = \sum_i w_i \, r_i
Blended cost of capital across funding layers; inserting cheaper mezzanine between senior debt and equity can lower it.
Warrant Coverage Equity Value
Warrant Equity=Warrant Coverage×Venture Debt\text{Warrant Equity} = \text{Warrant Coverage} \times \text{Venture Debt}
Dollar value of equity a venture lender gains via warrants attached to the loan, set as a percent of principal.
Post-Money Valuation with Warrants
Vpost=Vpre+Equity Raised+Warrant EquityV_{post} = V_{pre} + \text{Equity Raised} + \text{Warrant Equity}
Firm value after a financing round, including the equity created by venture-debt warrant coverage.
Warrant Equity Percentage
Warrant %=Warrant EquityVpost\text{Warrant \%} = \dfrac{\text{Warrant Equity}}{V_{post}}
Share of the firm a venture lender ends up owning once its attached warrants are exercised.
CDS Mark-to-Market Adjustment
MTM≈(St−S0)×D×Notional\text{MTM} \approx (S_{t} - S_{0}) \times D \times \text{Notional}
Value gained by a CDS protection buyer when the market spread St rises above the contracted spread S0, scaled by risky duration.
Hedge Funds 7 items
Simple moving average (SMA)
SMAt(n)=1n∑i=1npt−i\text{SMA}_t(n) = \dfrac{1}{n}\sum_{i=1}^{n} p_{t-i}
Equal-weighted mean of the last n prices; a rising SMA signals an uptrend in trend-following systems.
Weighted moving average (WMA)
WMAt(n)=∑i=1n(n−i+1) pt−in(n+1)/2WMA_t(n) = \dfrac{\sum_{i=1}^{n}(n-i+1)\,p_{t-i}}{n(n+1)/2}
Linearly declining weights stress the newest price; the denominator normalizes the integer weights to sum to one.
Exponential moving average (EMA)
EMAt(λ)=λ Pt−1+(1−λ) EMAt−1(λ)\text{EMA}_t(\lambda) = \lambda\,P_{t-1} + (1-\lambda)\,\text{EMA}_{t-1}(\lambda)
Recursive smoothing with parameter λ (0<λ<1); weights on older prices decay geometrically and higher λ reacts faster.
Relative strength index (RSI)
RSI=100−1001+U/D\text{RSI} = 100 - \dfrac{100}{1 + U/D}
Momentum oscillator from 0 to 100; U and D are average up/down moves. Below 30 oversold, above 70 overbought.
Futures contracts for volatility targeting
N=SF×Risk Loading×EquityNotional×RVolTRVolRN = \text{SF} \times \dfrac{\text{Risk Loading}\times\text{Equity}}{\text{Notional}} \times \dfrac{\text{RVol}_T}{\text{RVol}_R}
Scales position size so realized risk tracks vol target RVolTRVol_T; SF sets direction/strength, RVolRRVol_R is forecast vol.
Modified duration price change
ΔPP≈−Dmod×Δy\dfrac{\Delta P}{P} \approx -D_{\text{mod}} \times \Delta y
Approximates a bond's percentage price move for a small yield change Δy; longer duration means greater rate sensitivity.
High-water mark performance fee
Fee=p×max⁡(NAVt−HWMt−1, 0)\text{Fee} = p \times \max(NAV_t - \text{HWM}_{t-1},\, 0)
Performance fee p charged only on NAV above the high-water mark: the highest NAV on which an incentive fee has been paid, read on fee calculation dates, so recouped losses earn no fee.
Take the free CAIA Level I diagnostic quiz →
Instant readiness score in about 6 minutes. No signup to start.

Frequently Asked Questions

Is the CAIA Level I formula sheet free?
Yes. The full CAIA Level I formula sheet is free, with no signup, no email, and no credit card required. 91 formulas across 5 topics, all rendered with the same KaTeX math notation used in the FreeFellow study app.
Can I download the CAIA Level I formula sheet as a printable PDF?
Yes. A 1080x1350 portrait PDF (Instagram and LinkedIn carousel native size, also great for tablet study) is linked at the top of this page. The PDF is fully self-contained: math is pre-rendered, fonts are embedded, no internet connection needed once downloaded.
What's covered on the CAIA Level I formula sheet?
Every formula is grouped by official syllabus topic, with the formula in math notation plus a one-line note on when to use it (or a watch-out from CAIA, CFA, or other prep-provider commentary). Coverage is calibrated to the 2026 syllabus and refreshed when the corpus changes.
What is FreeFellow's relationship with CAIA?
FreeFellow LLC is a CAIA Association Preparatory Program Provider. CAIAA does not endorse, promote, review or warrant the accuracy or quality of the products or services offered by FreeFellow LLC.
What else is free at FreeFellow for CAIA Level I candidates?
The full original question bank is free with an account, subject to usage limits. Worked solutions, written lessons, mixed practice, and your readiness score stay free. The formula sheet is free too. Fellow is $39 per month or $79 per quarter, per exam family (USD). Fellow Plus is $49 per month, $99 per quarter, or $199 per year, per exam family (USD). Every annual plan is Fellow Plus. Fellow adds timed mock exams, spaced-repetition flashcards, performance analytics, and a personalized study plan.

About FreeFellow

Jeffrey Ting, founder of FreeFellow
Jeffrey Ting
FSA, CFA · Founder

FreeFellow was built by Jeffrey Ting, a credentialed actuary and CFA charterholder who has passed thirteen of the hardest exams in finance, all on his first attempt. He paid four-figure prep fees along the way.

So he started writing his own questions, then lessons, then mock exams, until it grew into a full prep platform covering 40 exams with more than 47,000 original practice questions.

01
Cost shouldn't decide who gets in.

A CFA charter, a CPA license, an actuarial credential. Each opens a real career, but prep fees add to the cost of getting there. FreeFellow keeps its original question bank and written lessons free so you can study even if a paid course is out of reach.

02
Free should mean free.

The original question bank, the worked solutions, the topic lessons, mixed practice, and your readiness score stay free, forever. Full access needs a free account, and practice usage limits apply. Fellow adds AI grading on supported exams, spaced-repetition flashcards, full-length mock exams, analytics, and a study plan that adapts to your progress.

Free forever

Put the formulas to work.

Every formula on this sheet shows up in the free CAIA Level I question bank, and every question carries a step-by-step solution.

Practice CAIA Level I questions free →

No credit card. No trial clock.