Markets: A Rigorous Course

14.18 The mathematics of leverage: drawdowns and margin calls

Core about 35 min

Motivation

Leverage multiplies returns and also multiplies drawdowns, but not linearly, and the margin call arrives before the drawdown you planned for. This section derives the three numbers a leveraged trader must know before entering: the drawdown multiplier, the price at which the margin call comes, and the probability that it comes within the holding period.

14.18.1Static and constant leverage#

Setup

Equity E0E_0 buys stock worth V0=λE0V_0 = \lambda E_0, borrowing B0=(λ−1)E0B_0 = (\lambda - 1)E_0 at rate cc. Write x=Pt/P0x = P_t/P_0 for the price ratio.

Proposition 14.25static leverage

If the position is not rebalanced,

EtE0=1+λ(x−1)−(λ−1)ct,(14.18)\frac{E_t}{E_0} = 1 + \lambda(x - 1) - (\lambda - 1)ct, \tag{14.18}

using simple interest. A price drawdown DD produces an equity drawdown of λD\lambda D (plus interest), and equity is wiped out at x=1−1/λx = 1 - 1/\lambda (ignoring interest).

Proof

Et=V0x−B0(1+ct)=λE0x−(λ−1)E0(1+ct)E_t = V_0x - B_0(1 + ct) = \lambda E_0x - (\lambda - 1)E_0(1 + ct).∎

Proposition 14.26constant leverage

If the position is rebalanced continuously to keep Vt=λEtV_t = \lambda E_t, the stock follows geometric Brownian motion with volatility σ\sigma, and borrowing costs cc continuously, then

ln⁡ETE0=λln⁡PTP0−12λ(λ−1)σ2T−(λ−1)cT.(14.19)\ln\frac{E_T}{E_0} = \lambda\ln\frac{P_T}{P_0} - \tfrac12\lambda(\lambda - 1)\sigma^2T - (\lambda - 1)cT. \tag{14.19}

Equity never reaches zero, but a price drawdown DD over a period τ\tau produces an equity drawdown of 1−(1−D)λe−12λ(λ−1)σ2τ−(λ−1)cτ1 - (1 - D)^\lambda e^{-\frac12\lambda(\lambda-1)\sigma^2\tau - (\lambda-1)c\tau}.

Proof

dE/E=λ dP/P−(λ−1)c dtdE/E = \lambda\,dP/P - (\lambda - 1)c\,dt with dP/P=μ dt+σ dWdP/P = \mu\,dt + \sigma\,dW. By Itô, dln⁡E=[λμ−(λ−1)c−12λ2σ2]dt+λσ dWd\ln E = [\lambda\mu - (\lambda - 1)c - \tfrac12\lambda^2\sigma^2]dt + \lambda\sigma\,dW, and dln⁡P=(μ−12σ2)dt+σ dWd\ln P = (\mu - \tfrac12\sigma^2)dt + \sigma\,dW. Subtract λ dln⁡P\lambda\,d\ln P: the dWdW and μ\mu terms cancel, leaving [−(λ−1)c−12λ(λ−1)σ2]dt[-(\lambda - 1)c - \tfrac12\lambda(\lambda - 1)\sigma^2]dt. Integrate.∎

Two consequences. First, with λ=2\lambda = 2 and a 30% price fall, static leverage loses 60% and constant leverage 51% (52% with σ=20%\sigma = 20\% over six months), because rebalancing sells on the way down. Second, the expected log growth rate of equity is c+λ(μ−c)−12λ2σ2c + \lambda(\mu - c) - \tfrac12\lambda^2\sigma^2, maximised at λ∗=(μ−c)/σ2\lambda^* = (\mu - c)/\sigma^2: the continuous Kelly fraction of M03 · 3.4. Any leverage above 2λ∗2\lambda^* has a lower growth rate than holding cash at cc, since c+λ(μ−c)−12λ2σ2<c  ⟺  λ>2λ∗c + \lambda(\mu - c) - \tfrac12\lambda^2\sigma^2 < c \iff \lambda > 2\lambda^*. At an MTF rate of 15% and an expected stock return below 15%, μ−c<0\mu - c < 0 and no borrowing is justified. Even funded at 10%, a single stock with an expected return of 13% and volatility 30% has λ∗=0.03/0.09=0.33\lambda^* = 0.03/0.09 = 0.33: Kelly says buy a third of a position, not two and a half.

14.18.2The margin-call trigger#

Setup

A funded position worth Vt=V0xV_t = V_0x with loan BtB_t; optional collateral (pledged shares) worth KtK_t with haircut hh; margin rate mm required on the funded position (for MTF, VaR + 3 ELM or VaR + 5 ELM). The client's margin is

Mt=(Vt−Bt)+(1−h)Kt,(14.20)M_t = (V_t - B_t) + (1 - h)K_t, \tag{14.20}

and a call is made when Mt<mVtM_t < mV_t.

Proposition 14.27trigger price

(a) Collateral independent of the stock (Kt=K0K_t = K_0): the call comes when

x<x∗=Bt−(1−h)K0(1−m)V0.x < x^* = \frac{B_t - (1 - h)K_0}{(1 - m)V_0}.

(b) No collateral, initial margin fraction e0=(V0−B0)/V0≥me_0 = (V_0 - B_0)/V_0 \ge m, loan growing at simple rate cc: the call comes after a price fall of

d∗=1−(1−e0)(1+ct)1−m,d∗=e0−m1−m  when c=0.(14.21)d^* = 1 - \frac{(1 - e_0)(1 + ct)}{1 - m}, \qquad d^* = \frac{e_0 - m}{1 - m}\ \text{ when } c = 0. \tag{14.21}

(c) Collateral in the same stock (Kt=K0xK_t = K_0x): x∗=Bt/[(1−m)V0+(1−h)K0]x^* = B_t/[(1 - m)V_0 + (1 - h)K_0].

Proof

Substitute into Mt<mVtM_t < mV_t and solve for xx. (a) V0x−Bt+(1−h)K0<mV0x  ⟺  x(1−m)V0<Bt−(1−h)K0V_0x - B_t + (1 - h)K_0 < mV_0x \iff x(1 - m)V_0 < B_t - (1 - h)K_0. (b) Set K0=0K_0 = 0, Bt=(1−e0)V0(1+ct)B_t = (1 - e_0)V_0(1 + ct), d∗=1−x∗d^* = 1 - x^*. (c) V0x−Bt+(1−h)K0x<mV0x  ⟺  x[(1−m)V0+(1−h)K0]<BtV_0x - B_t + (1 - h)K_0x < mV_0x \iff x[(1 - m)V_0 + (1 - h)K_0] < B_t.∎

If you post exactly the minimum, e0=me_0 = m and d∗=0d^* = 0: the first down-tick is a margin call. The buffer between your initial margin and the requirement is the only thing between you and a call, and (14.21) converts it into a price distance. In case (c) the collateral falls with the position, so the trigger is closer than in (a) for the same initial margin.

Proposition 14.28curing a call by selling

At a call, selling funded stock worth yy and repaying yy of the loan restores the requirement iff

y≥Vt−Mtm=mVt−Mtm.(14.22)y \ge V_t - \frac{M_t}{m} = \frac{mV_t - M_t}{m}. \tag{14.22}
Proof

Selling yy and repaying yy leaves Vt−BtV_t - B_t, hence MtM_t, unchanged, while the requirement falls to m(Vt−y)m(V_t - y). Solve Mt≥m(Vt−y)M_t \ge m(V_t - y).∎

The cure by selling is 1/m1/m times the cash shortfall: at m=27.5%m = 27.5\%, every ₹1 of shortfall forces ₹3.64 of sales at the low. This is the arithmetic of a liquidation cascade.

Worked example 14.18.1

Buy ₹10 lakh of an F&O Group I stock with VaR 12.5% and ELM 5% (m=27.5%m = 27.5\%), paying 40% (₹4 lakh) and funding ₹6 lakh by MTF at an assumed 15% a year.

  • Leverage λ=2.5\lambda = 2.5. By (14.21) with no interest, the call comes after a fall of d∗=(0.40−0.275)/0.725=17.24%d^* = (0.40 - 0.275)/0.725 = 17.24\%, at which point equity has fallen 2.5×17.24%=43.1%2.5 \times 17.24\% = 43.1\%.
  • After 60 days of interest the loan is ₹6,14,795 and the trigger is a fall of 15.20%.
  • If at day 60 the stock is down 20% (V=₹8V = \text{₹}8 lakh), margin is ₹1,85,205 against a requirement of ₹2,20,000. The cure is ₹34,795 of fresh cash, or by (14.22) selling ₹1,26,526 of stock.
  • If instead the ₹4 lakh margin had been posted as pledged shares of the same stock (₹5 lakh at a 20% haircut) with the full ₹10 lakh funded, the trigger is x∗=10/(7.25+4)=0.889x^* = 10/(7.25 + 4) = 0.889, an 11.1% fall, against 17.24% if the pledged shares were uncorrelated with the position.

14.18.3How likely is the call?#

Proposition 14.29first-passage probability

If ln⁡(Pt/P0)=νt+σWt\ln(P_t/P_0) = \nu t + \sigma W_t with ν=μ−12σ2\nu = \mu - \tfrac12\sigma^2, the probability that the price ratio touches 1−d∗1 - d^* (with b=ln⁡(1−d∗)<0b = \ln(1 - d^*) < 0) at some time before TT is

P(τb≤T)=Φ(b−νTσT)+e2νb/σ2 Φ(b+νTσT).(14.23)P(\tau_b \le T) = \Phi\Big(\frac{b - \nu T}{\sigma\sqrt T}\Big) + e^{2\nu b/\sigma^2}\,\Phi\Big(\frac{b + \nu T}{\sigma\sqrt T}\Big). \tag{14.23}
Proof sketch

For ν=0\nu = 0 the reflection principle gives P(min⁡t≤TWt≤b/σ)=2Φ(b/(σT))P(\min_{t\le T} W_t \le b/\sigma) = 2\Phi(b/(\sigma\sqrt T)). For ν≠0\nu \ne 0, change measure by Girsanov so that νt+σWt\nu t + \sigma W_t is a driftless Brownian motion, apply the reflection principle to the joint law of the minimum and the endpoint, and change back; the Radon–Nikodym factor produces the term e2νb/σ2e^{2\nu b/\sigma^2}. See Shreve, Stochastic Calculus for Finance II (2004), 7.2, or Harrison, Brownian Motion and Stochastic Flow Systems (1985), ch. 1.∎

For the worked example (d∗=17.24%d^* = 17.24\%, b=−0.1892b = -0.1892) with μ=12%\mu = 12\% and σ=30%\sigma = 30\% a year, (14.23) gives 2.5% within one month, 17.6% within three months, 31.6% within six months and 44.6% within a year. A Monte Carlo with daily monitoring gives 15.2% at three months: discrete monitoring misses intraday touches, but a broker monitors intraday, so the continuous figure is the relevant one. The model also ignores gaps; an overnight gap through the trigger turns the call into a loss larger than the cushion. A position that has a one-in-six chance of a margin call within a quarter is not a long-term investment, whatever the intention at purchase.

Practitioner notes

  • Compute d∗d^* and the probability (14.23) before entering, using the margin rate you would face in a stressed market (VaR margins rise with volatility), not today's.
  • Keep the cash to meet a call outside the trading account and decide in advance whether you will meet it or cut. Deciding at the low is the disposition effect (14.9) under time pressure.
  • Never pledge shares correlated with the leveraged position. Case (c) of Proposition 14.27 is the retail version of every collateral spiral from LTCM to promoter-pledge collapses.
  • Jhunjhunwala's reported practice of keeping the investing book separate from the trading book (14.12.3) also keeps the investing book from being pledged against trading losses.

Facts used in 14.16–14.18#

Fact Value As of Source
MTF eligible securities Group I equity shares and equity ETF units text in force before the June 2026 proposals SEBI consultation paper, 18 Jun 2026 (reproducing master circular para 4.2–4.3)
MTF margin, F&O Group I stocks VaR + 3 × ELM (cash-segment rates) same same; original circular CIR/MRD/DP/54/2017, 13 Jun 2017
MTF margin, other Group I stocks and ETFs VaR + 5 × ELM same same
MTF consultation (net worth ₹3 cr → ₹5 cr proposed; margins unchanged) proposed, comments due 9 Jul 2026 18 Jun 2026 Taxmann (secondary); adoption not verified
Pledge/re-pledge framework SEBI circular 25 Feb 2020; mandatory from 1 Sep 2020 2020 broker notices (secondary)
Short-selling framework update SEBI/HO/MRD/MRD-PoD-3/P/CIR/2024/1 5 Jan 2024 secondary summaries (TaxGuru, Business Standard)
SLB tenure 1 to 12 months; shorter-tenure contracts from 17 Aug 2026 2026 NSE SLBS features page (search summary); secondary news (verify with the exchange)
Delivery STT; futures STT (sell) 0.1% each side; 0.05% from 1 Apr 2026 NSE circular NSE/FATAX/73524, 31 Mar 2026 (fetched 6 Nov 2026)

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