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<div class="title">DiscreteHedging.cpp</div> </div>
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<p>This example computes profit and loss of a discrete interval hedging strategy and compares with the outcome with the results of Derman and Kamal's Goldman Sachs Equity Derivatives Research Note "When You Cannot Hedge Continuously: The Corrections to
Black-Scholes". It shows the use of the Monte Carlo framework.</p>
<div class="fragment"><div class="line"><span class="comment">/* -*- mode: c++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- */</span></div>
<div class="line"> </div>
<div class="line"><span class="comment">/* This example computes profit and loss of a discrete interval hedging</span></div>
<div class="line"><span class="comment"> strategy and compares with the results of Derman & Kamal's (Goldman Sachs</span></div>
<div class="line"><span class="comment"> Equity Derivatives Research) Research Note: "When You Cannot Hedge</span></div>
<div class="line"><span class="comment"> Continuously: The Corrections to Black-Scholes"</span></div>
<div class="line"><span class="comment"> http://www.ederman.com/emanuelderman/GSQSpapers/when_you_cannot_hedge.pdf</span></div>
<div class="line"><span class="comment"></span> </div>
<div class="line"><span class="comment"> Suppose an option hedger sells an European option and receives the</span></div>
<div class="line"><span class="comment"> Black-Scholes value as the options premium.</span></div>
<div class="line"><span class="comment"> Then he follows a Black-Scholes hedging strategy, rehedging at discrete,</span></div>
<div class="line"><span class="comment"> evenly spaced time intervals as the underlying stock changes. At</span></div>
<div class="line"><span class="comment"> expiration, the hedger delivers the option payoff to the option holder,</span></div>
<div class="line"><span class="comment"> and unwinds the hedge. We are interested in understanding the final</span></div>
<div class="line"><span class="comment"> profit or loss of this strategy.</span></div>
<div class="line"><span class="comment"></span> </div>
<div class="line"><span class="comment"> If the hedger had followed the exact Black-Scholes replication strategy,</span></div>
<div class="line"><span class="comment"> re-hedging continuously as the underlying stock evolved towards its final</span></div>
<div class="line"><span class="comment"> value at expiration, then, no matter what path the stock took, the final</span></div>
<div class="line"><span class="comment"> P&L would be exactly zero. When the replication strategy deviates from</span></div>
<div class="line"><span class="comment"> the exact Black-Scholes method, the final P&L may deviate from zero. This</span></div>
<div class="line"><span class="comment"> deviation is called the replication error. When the hedger rebalances at</span></div>
<div class="line"><span class="comment"> discrete rather than continuous intervals, the hedge is imperfect and the</span></div>
<div class="line"><span class="comment"> replication is inexact. The more often hedging occurs, the smaller the</span></div>
<div class="line"><span class="comment"> replication error.</span></div>
<div class="line"><span class="comment"></span> </div>
<div class="line"><span class="comment"> We examine the range of possibilities, computing the replication error.</span></div>
<div class="line"><span class="comment">*/</span></div>
<div class="line"> </div>
<div class="line"><span class="preprocessor">#include <ql/qldefines.hpp></span></div>
<div class="line"><span class="preprocessor">#ifdef BOOST_MSVC</span></div>
<div class="line"><span class="preprocessor"># include <ql/auto_link.hpp></span></div>
<div class="line"><span class="preprocessor">#endif</span></div>
<div class="line"><span class="preprocessor">#include <ql/methods/montecarlo/montecarlomodel.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/processes/blackscholesprocess.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/termstructures/yield/flatforward.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/termstructures/volatility/equityfx/blackconstantvol.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/pricingengines/blackcalculator.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/quotes/simplequote.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/time/calendars/target.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/time/daycounters/actual365fixed.hpp></span></div>
<div class="line"> </div>
<div class="line"><span class="preprocessor">#include <iostream></span></div>
<div class="line"><span class="preprocessor">#include <iomanip></span></div>
<div class="line"> </div>
<div class="line"><span class="keyword">using namespace </span><a class="code" href="namespace_quant_lib.html">QuantLib</a>;</div>
<div class="line"> </div>
<div class="line"><span class="preprocessor">#if defined(QL_ENABLE_SESSIONS)</span></div>
<div class="line"><span class="keyword">namespace </span><a class="code" href="namespace_quant_lib.html">QuantLib</a> {</div>
<div class="line"> </div>
<div class="line"> ThreadKey sessionId() { <span class="keywordflow">return</span> 0; }</div>
<div class="line"> </div>
<div class="line">}</div>
<div class="line"><span class="preprocessor">#endif</span></div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"><span class="comment">/* The ReplicationError class carries out Monte Carlo simulations to evaluate</span></div>
<div class="line"><span class="comment"> the outcome (the replication error) of the discrete hedging strategy over</span></div>
<div class="line"><span class="comment"> different, randomly generated scenarios of future stock price evolution.</span></div>
<div class="line"><span class="comment">*/</span></div>
<div class="line"><span class="keyword">class </span>ReplicationError</div>
<div class="line">{</div>
<div class="line"><span class="keyword">public</span>:</div>
<div class="line"> ReplicationError(Option::Type type,</div>
<div class="line"> <a name="a0"></a><a class="code" href="group__types.html#ga14fb8fca43a68f4168654e1f9f7e22f7" title="continuous quantity with 1-year units">Time</a> maturity,</div>
<div class="line"> <a name="a1"></a><a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> strike,</div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> s0,</div>
<div class="line"> <a name="a2"></a><a class="code" href="group__types.html#gaaa95ab7fe66935e3f7535413fad2a7d3" title="volatility">Volatility</a> sigma,</div>
<div class="line"> <a name="a3"></a><a class="code" href="group__types.html#gaede435af51236692b1107d7639581d39" title="interest rates">Rate</a> r)</div>
<div class="line"> : maturity_(maturity), payoff_(type, strike), s0_(s0),</div>
<div class="line"> sigma_(sigma), r_(r) {</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// value of the option</span></div>
<div class="line"> <a name="a4"></a><a class="code" href="group__types.html#ga642a971a0bcbbd2fb26c35e1a06e5761" title="discount factor between dates">DiscountFactor</a> rDiscount = std::exp(-r_*maturity_);</div>
<div class="line"> <a class="code" href="group__types.html#ga642a971a0bcbbd2fb26c35e1a06e5761" title="discount factor between dates">DiscountFactor</a> qDiscount = 1.0;</div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> forward = s0_*qDiscount/rDiscount;</div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> stdDev = std::sqrt(sigma_*sigma_*maturity_);</div>
<div class="line"> ext::shared_ptr<StrikedTypePayoff> payoff(</div>
<div class="line"> <span class="keyword">new</span> <a name="_a5"></a><a class="code" href="class_quant_lib_1_1_plain_vanilla_payoff.html" title="Plain-vanilla payoff.">PlainVanillaPayoff</a>(payoff_));</div>
<div class="line"> <a name="_a6"></a><a class="code" href="class_quant_lib_1_1_black_calculator.html" title="Black 1976 calculator class.">BlackCalculator</a> black(payoff,forward,stdDev,rDiscount);</div>
<div class="line"> std::cout << <span class="stringliteral">"Option value: "</span> << black.value() << std::endl;</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// store option's vega, since Derman and Kamal's formula needs it</span></div>
<div class="line"> vega_ = black.vega(maturity_);</div>
<div class="line"> </div>
<div class="line"> std::cout << std::endl;</div>
<div class="line"> </div>
<div class="line"> std::cout << std::setw(8) << <span class="stringliteral">" "</span> << <span class="stringliteral">" | "</span></div>
<div class="line"> << std::setw(8) << <span class="stringliteral">" "</span> << <span class="stringliteral">" | "</span></div>
<div class="line"> << std::setw(8) << <span class="stringliteral">"P&L"</span> << <span class="stringliteral">" | "</span></div>
<div class="line"> << std::setw(8) << <span class="stringliteral">"P&L"</span> << <span class="stringliteral">" | "</span></div>
<div class="line"> << std::setw(12) << <span class="stringliteral">"Derman&Kamal"</span> << <span class="stringliteral">" | "</span></div>
<div class="line"> << std::setw(8) << <span class="stringliteral">"P&L"</span> << <span class="stringliteral">" | "</span></div>
<div class="line"> << std::setw(8) << <span class="stringliteral">"P&L"</span> << std::endl;</div>
<div class="line"> </div>
<div class="line"> std::cout << std::setw(8) << <span class="stringliteral">"samples"</span> << <span class="stringliteral">" | "</span></div>
<div class="line"> << std::setw(8) << <span class="stringliteral">"trades"</span> << <span class="stringliteral">" | "</span></div>
<div class="line"> << std::setw(8) << <span class="stringliteral">"mean"</span> << <span class="stringliteral">" | "</span></div>
<div class="line"> << std::setw(8) << <span class="stringliteral">"std.dev."</span> << <span class="stringliteral">" | "</span></div>
<div class="line"> << std::setw(12) << <span class="stringliteral">"formula"</span> << <span class="stringliteral">" | "</span></div>
<div class="line"> << std::setw(8) << <span class="stringliteral">"skewness"</span> << <span class="stringliteral">" | "</span></div>
<div class="line"> << std::setw(8) << <span class="stringliteral">"kurtosis"</span> << std::endl;</div>
<div class="line"> </div>
<div class="line"> std::cout << std::string(78, <span class="charliteral">'-'</span>) << std::endl;</div>
<div class="line"> }</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// the actual replication error computation</span></div>
<div class="line"> <span class="keywordtype">void</span> compute(<a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> nTimeSteps, <a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> nSamples);</div>
<div class="line"><span class="keyword">private</span>:</div>
<div class="line"> <a class="code" href="group__types.html#ga14fb8fca43a68f4168654e1f9f7e22f7" title="continuous quantity with 1-year units">Time</a> maturity_;</div>
<div class="line"> <a class="code" href="class_quant_lib_1_1_plain_vanilla_payoff.html" title="Plain-vanilla payoff.">PlainVanillaPayoff</a> payoff_;</div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> s0_;</div>
<div class="line"> <a class="code" href="group__types.html#gaaa95ab7fe66935e3f7535413fad2a7d3" title="volatility">Volatility</a> sigma_;</div>
<div class="line"> <a class="code" href="group__types.html#gaede435af51236692b1107d7639581d39" title="interest rates">Rate</a> r_;</div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> vega_;</div>
<div class="line">};</div>
<div class="line"> </div>
<div class="line"><span class="comment">// The key for the MonteCarlo simulation is to have a PathPricer that</span></div>
<div class="line"><span class="comment">// implements a value(const Path& path) method.</span></div>
<div class="line"><span class="comment">// This method prices the portfolio for each Path of the random variable</span></div>
<div class="line"><span class="keyword">class </span>ReplicationPathPricer : <span class="keyword">public</span> <a name="_a7"></a><a class="code" href="class_quant_lib_1_1_path_pricer.html" title="base class for path pricers">PathPricer</a><Path> {</div>
<div class="line"> <span class="keyword">public</span>:</div>
<div class="line"> <span class="comment">// real constructor</span></div>
<div class="line"> ReplicationPathPricer(Option::Type type,</div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> strike,</div>
<div class="line"> <a class="code" href="group__types.html#gaede435af51236692b1107d7639581d39" title="interest rates">Rate</a> r,</div>
<div class="line"> <a class="code" href="group__types.html#ga14fb8fca43a68f4168654e1f9f7e22f7" title="continuous quantity with 1-year units">Time</a> maturity,</div>
<div class="line"> <a class="code" href="group__types.html#gaaa95ab7fe66935e3f7535413fad2a7d3" title="volatility">Volatility</a> sigma)</div>
<div class="line"> : type_(type), strike_(strike),</div>
<div class="line"> r_(r), maturity_(maturity), sigma_(sigma) {</div>
<div class="line"> QL_REQUIRE(strike_ > 0.0, <span class="stringliteral">"strike must be positive"</span>);</div>
<div class="line"> QL_REQUIRE(r_ >= 0.0,</div>
<div class="line"> <span class="stringliteral">"risk free rate (r) must be positive or zero"</span>);</div>
<div class="line"> QL_REQUIRE(maturity_ > 0.0, <span class="stringliteral">"maturity must be positive"</span>);</div>
<div class="line"> QL_REQUIRE(sigma_ >= 0.0,</div>
<div class="line"> <span class="stringliteral">"volatility (sigma) must be positive or zero"</span>);</div>
<div class="line"> </div>
<div class="line"> }</div>
<div class="line"> <span class="comment">// The value() method encapsulates the pricing code</span></div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> operator()(<span class="keyword">const</span> <a name="_a8"></a><a class="code" href="class_quant_lib_1_1_path.html" title="single-factor random walk">Path</a>& path) <span class="keyword">const</span>;</div>
<div class="line"> </div>
<div class="line"> <span class="keyword">private</span>:</div>
<div class="line"> Option::Type type_;</div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> strike_;</div>
<div class="line"> <a class="code" href="group__types.html#gaede435af51236692b1107d7639581d39" title="interest rates">Rate</a> r_;</div>
<div class="line"> <a class="code" href="group__types.html#ga14fb8fca43a68f4168654e1f9f7e22f7" title="continuous quantity with 1-year units">Time</a> maturity_;</div>
<div class="line"> <a class="code" href="group__types.html#gaaa95ab7fe66935e3f7535413fad2a7d3" title="volatility">Volatility</a> sigma_;</div>
<div class="line">};</div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"><span class="comment">// Compute Replication Error as in the Derman and Kamal's research note</span></div>
<div class="line"><span class="keywordtype">int</span> main(<span class="keywordtype">int</span>, <span class="keywordtype">char</span>* []) {</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">try</span> {</div>
<div class="line"> </div>
<div class="line"> std::cout << std::endl;</div>
<div class="line"> </div>
<div class="line"> <a class="code" href="group__types.html#ga14fb8fca43a68f4168654e1f9f7e22f7" title="continuous quantity with 1-year units">Time</a> maturity = 1.0/12.0; <span class="comment">// 1 month</span></div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> strike = 100;</div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> underlying = 100;</div>
<div class="line"> <a class="code" href="group__types.html#gaaa95ab7fe66935e3f7535413fad2a7d3" title="volatility">Volatility</a> <a name="a9"></a><a class="code" href="group__manips.html#gac402ef7c87f63f7c603ee87210b5750c" title="output volatilities as percentages">volatility</a> = 0.20; <span class="comment">// 20%</span></div>
<div class="line"> <a class="code" href="group__types.html#gaede435af51236692b1107d7639581d39" title="interest rates">Rate</a> riskFreeRate = 0.05; <span class="comment">// 5%</span></div>
<div class="line"> ReplicationError rp(Option::Call, maturity, strike, underlying,</div>
<div class="line"> <a class="code" href="group__manips.html#gac402ef7c87f63f7c603ee87210b5750c" title="output volatilities as percentages">volatility</a>, riskFreeRate);</div>
<div class="line"> </div>
<div class="line"> <a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> scenarios = 50000;</div>
<div class="line"> <a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> hedgesNum;</div>
<div class="line"> </div>
<div class="line"> hedgesNum = 21;</div>
<div class="line"> rp.compute(hedgesNum, scenarios);</div>
<div class="line"> </div>
<div class="line"> hedgesNum = 84;</div>
<div class="line"> rp.compute(hedgesNum, scenarios);</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">return</span> 0;</div>
<div class="line"> } <span class="keywordflow">catch</span> (std::exception& e) {</div>
<div class="line"> std::cerr << e.what() << std::endl;</div>
<div class="line"> <span class="keywordflow">return</span> 1;</div>
<div class="line"> } <span class="keywordflow">catch</span> (...) {</div>
<div class="line"> std::cerr << <span class="stringliteral">"unknown error"</span> << std::endl;</div>
<div class="line"> <span class="keywordflow">return</span> 1;</div>
<div class="line"> }</div>
<div class="line">}</div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"><span class="comment">/* The actual computation of the Profit&Loss for each single path.</span></div>
<div class="line"><span class="comment"></span> </div>
<div class="line"><span class="comment"> In each scenario N rehedging trades spaced evenly in time over</span></div>
<div class="line"><span class="comment"> the life of the option are carried out, using the Black-Scholes</span></div>
<div class="line"><span class="comment"> hedge ratio.</span></div>
<div class="line"><span class="comment">*/</span></div>
<div class="line"><a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> ReplicationPathPricer::operator()(<span class="keyword">const</span> <a class="code" href="class_quant_lib_1_1_path.html" title="single-factor random walk">Path</a>& path)<span class="keyword"> const </span>{</div>
<div class="line"> </div>
<div class="line"> <a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> n = path.<a name="a10"></a>length()-1;</div>
<div class="line"> QL_REQUIRE(n>0, <span class="stringliteral">"the path cannot be empty"</span>);</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// discrete hedging interval</span></div>
<div class="line"> <a class="code" href="group__types.html#ga14fb8fca43a68f4168654e1f9f7e22f7" title="continuous quantity with 1-year units">Time</a> dt = maturity_/n;</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// For simplicity, we assume the stock pays no dividends.</span></div>
<div class="line"> <a class="code" href="group__types.html#gaede435af51236692b1107d7639581d39" title="interest rates">Rate</a> stockDividendYield = 0.0;</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// let's start</span></div>
<div class="line"> <a class="code" href="group__types.html#ga14fb8fca43a68f4168654e1f9f7e22f7" title="continuous quantity with 1-year units">Time</a> t = 0;</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// stock value at t=0</span></div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> stock = path.<a name="a11"></a><a class="code" href="class_quant_lib_1_1_path.html#af78ff4861aaf9bf0524b958dbb4d1b18" title="initial asset value">front</a>();</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// money account at t=0</span></div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> money_account = 0.0;</div>
<div class="line"> </div>
<div class="line"><span class="comment"> /************************/</span></div>
<div class="line"><span class="comment"> /*** the initial deal ***/</span></div>
<div class="line"><span class="comment"> /************************/</span></div>
<div class="line"> <span class="comment">// option fair price (Black-Scholes) at t=0</span></div>
<div class="line"> <a class="code" href="group__types.html#ga642a971a0bcbbd2fb26c35e1a06e5761" title="discount factor between dates">DiscountFactor</a> rDiscount = std::exp(-r_*maturity_);</div>
<div class="line"> <a class="code" href="group__types.html#ga642a971a0bcbbd2fb26c35e1a06e5761" title="discount factor between dates">DiscountFactor</a> qDiscount = std::exp(-stockDividendYield*maturity_);</div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> forward = stock*qDiscount/rDiscount;</div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> stdDev = std::sqrt(sigma_*sigma_*maturity_);</div>
<div class="line"> ext::shared_ptr<StrikedTypePayoff> payoff(</div>
<div class="line"> <span class="keyword">new</span> <a class="code" href="class_quant_lib_1_1_plain_vanilla_payoff.html" title="Plain-vanilla payoff.">PlainVanillaPayoff</a>(type_,strike_));</div>
<div class="line"> <a class="code" href="class_quant_lib_1_1_black_calculator.html" title="Black 1976 calculator class.">BlackCalculator</a> black(payoff,forward,stdDev,rDiscount);</div>
<div class="line"> <span class="comment">// sell the option, cash in its premium</span></div>
<div class="line"> money_account += black.value();</div>
<div class="line"> <span class="comment">// compute delta</span></div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> delta = black.delta(stock);</div>
<div class="line"> <span class="comment">// delta-hedge the option buying stock</span></div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> stockAmount = delta;</div>
<div class="line"> money_account -= stockAmount*stock;</div>
<div class="line"> </div>
<div class="line"><span class="comment"> /**********************************/</span></div>
<div class="line"><span class="comment"> /*** hedging during option life ***/</span></div>
<div class="line"><span class="comment"> /**********************************/</span></div>
<div class="line"> <span class="keywordflow">for</span> (<a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> step = 0; step < n-1; step++){</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// time flows</span></div>
<div class="line"> t += dt;</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// accruing on the money account</span></div>
<div class="line"> money_account *= std::exp( r_*dt );</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// stock growth:</span></div>
<div class="line"> stock = path[step+1];</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// recalculate option value at the current stock value,</span></div>
<div class="line"> <span class="comment">// and the current time to maturity</span></div>
<div class="line"> rDiscount = std::exp(-r_*(maturity_-t));</div>
<div class="line"> qDiscount = std::exp(-stockDividendYield*(maturity_-t));</div>
<div class="line"> forward = stock*qDiscount/rDiscount;</div>
<div class="line"> stdDev = std::sqrt(sigma_*sigma_*(maturity_-t));</div>
<div class="line"> <a class="code" href="class_quant_lib_1_1_black_calculator.html" title="Black 1976 calculator class.">BlackCalculator</a> black(payoff,forward,stdDev,rDiscount);</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// recalculate delta</span></div>
<div class="line"> delta = black.delta(stock);</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// re-hedging</span></div>
<div class="line"> money_account -= (delta - stockAmount)*stock;</div>
<div class="line"> stockAmount = delta;</div>
<div class="line"> }</div>
<div class="line"> </div>
<div class="line"><span class="comment"> /*************************/</span></div>
<div class="line"><span class="comment"> /*** option expiration ***/</span></div>
<div class="line"><span class="comment"> /*************************/</span></div>
<div class="line"> <span class="comment">// last accrual on my money account</span></div>
<div class="line"> money_account *= std::exp( r_*dt );</div>
<div class="line"> <span class="comment">// last stock growth</span></div>
<div class="line"> stock = path[n];</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// the hedger delivers the option payoff to the option holder</span></div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> optionPayoff = <a class="code" href="class_quant_lib_1_1_plain_vanilla_payoff.html" title="Plain-vanilla payoff.">PlainVanillaPayoff</a>(type_, strike_)(stock);</div>
<div class="line"> money_account -= optionPayoff;</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// and unwinds the hedge selling his stock position</span></div>
<div class="line"> money_account += stockAmount*stock;</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// final Profit&Loss</span></div>
<div class="line"> <span class="keywordflow">return</span> money_account;</div>
<div class="line">}</div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"><span class="comment">// The computation over nSamples paths of the P&L distribution</span></div>
<div class="line"><span class="keywordtype">void</span> ReplicationError::compute(<a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> nTimeSteps, <a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> nSamples)</div>
<div class="line">{</div>
<div class="line"> QL_REQUIRE(nTimeSteps>0, <span class="stringliteral">"the number of steps must be > 0"</span>);</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// hedging interval</span></div>
<div class="line"> <span class="comment">// Time tau = maturity_ / nTimeSteps;</span></div>
<div class="line"> </div>
<div class="line"> <span class="comment">/* Black-Scholes framework: the underlying stock price evolves</span></div>
<div class="line"><span class="comment"> lognormally with a fixed known volatility that stays constant</span></div>
<div class="line"><span class="comment"> throughout time.</span></div>
<div class="line"><span class="comment"> */</span></div>
<div class="line"> <a name="_a12"></a><a class="code" href="class_quant_lib_1_1_calendar.html" title="calendar class">Calendar</a> calendar = <a name="_a13"></a><a class="code" href="class_quant_lib_1_1_t_a_r_g_e_t.html" title="TARGET calendar">TARGET</a>();</div>
<div class="line"> <a name="_a14"></a><a class="code" href="class_quant_lib_1_1_date.html" title="Concrete date class.">Date</a> today = <a name="a15"></a><a class="code" href="class_quant_lib_1_1_date.html#aa3b3414c408337e640d21c0936602c66" title="today's date.">Date::todaysDate</a>();</div>
<div class="line"> <a name="_a16"></a><a class="code" href="class_quant_lib_1_1_day_counter.html" title="day counter class">DayCounter</a> dayCount = <a name="_a17"></a><a class="code" href="class_quant_lib_1_1_actual365_fixed.html" title="Actual/365 (Fixed) day count convention.">Actual365Fixed</a>();</div>
<div class="line"> <a name="_a18"></a><a class="code" href="class_quant_lib_1_1_handle.html" title="Shared handle to an observable.">Handle<Quote></a> stateVariable(</div>
<div class="line"> ext::shared_ptr<Quote>(<span class="keyword">new</span> <a name="_a19"></a><a class="code" href="class_quant_lib_1_1_simple_quote.html" title="market element returning a stored value">SimpleQuote</a>(s0_)));</div>
<div class="line"> <a name="_a20"></a><a class="code" href="class_quant_lib_1_1_handle.html">Handle<YieldTermStructure></a> riskFreeRate(</div>
<div class="line"> ext::shared_ptr<YieldTermStructure>(</div>
<div class="line"> <span class="keyword">new</span> <a name="_a21"></a><a class="code" href="class_quant_lib_1_1_flat_forward.html" title="Flat interest-rate curve.">FlatForward</a>(today, r_, dayCount)));</div>
<div class="line"> <a class="code" href="class_quant_lib_1_1_handle.html">Handle<YieldTermStructure></a> dividendYield(</div>
<div class="line"> ext::shared_ptr<YieldTermStructure>(</div>
<div class="line"> <span class="keyword">new</span> <a class="code" href="class_quant_lib_1_1_flat_forward.html" title="Flat interest-rate curve.">FlatForward</a>(today, 0.0, dayCount)));</div>
<div class="line"> <a class="code" href="class_quant_lib_1_1_handle.html" title="Shared handle to an observable.">Handle<BlackVolTermStructure></a> <a class="code" href="group__manips.html#gac402ef7c87f63f7c603ee87210b5750c" title="output volatilities as percentages">volatility</a>(</div>
<div class="line"> ext::shared_ptr<BlackVolTermStructure>(</div>
<div class="line"> <span class="keyword">new</span> <a name="_a22"></a><a class="code" href="class_quant_lib_1_1_black_constant_vol.html" title="Constant Black volatility, no time-strike dependence.">BlackConstantVol</a>(today, calendar, sigma_, dayCount)));</div>
<div class="line"> ext::shared_ptr<StochasticProcess1D> diffusion(</div>
<div class="line"> <span class="keyword">new</span> <a name="_a23"></a><a class="code" href="class_quant_lib_1_1_black_scholes_merton_process.html" title="Merton (1973) extension to the Black-Scholes stochastic process.">BlackScholesMertonProcess</a>(stateVariable, dividendYield,</div>
<div class="line"> riskFreeRate, <a class="code" href="group__manips.html#gac402ef7c87f63f7c603ee87210b5750c" title="output volatilities as percentages">volatility</a>));</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// Black Scholes equation rules the path generator:</span></div>
<div class="line"> <span class="comment">// at each step the log of the stock</span></div>
<div class="line"> <span class="comment">// will have drift and sigma^2 variance</span></div>
<div class="line"> <a name="_a24"></a><a class="code" href="class_quant_lib_1_1_inverse_cumulative_rsg.html" title="Inverse cumulative random sequence generator.">PseudoRandom::rsg_type</a> rsg =</div>
<div class="line"> PseudoRandom::make_sequence_generator(nTimeSteps, 0);</div>
<div class="line"> </div>
<div class="line"> <span class="keywordtype">bool</span> brownianBridge = <span class="keyword">false</span>;</div>
<div class="line"> </div>
<div class="line"> <span class="keyword">typedef</span> <a name="_a25"></a><a class="code" href="class_quant_lib_1_1_path_generator.html" title="Generates random paths using a sequence generator.">SingleVariate<PseudoRandom>::path_generator_type</a> generator_type;</div>
<div class="line"> ext::shared_ptr<generator_type> myPathGenerator(<span class="keyword">new</span></div>
<div class="line"> generator_type(diffusion, maturity_, nTimeSteps,</div>
<div class="line"> rsg, brownianBridge));</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// The replication strategy's Profit&Loss is computed for each path</span></div>
<div class="line"> <span class="comment">// of the stock. The path pricer knows how to price a path using its</span></div>
<div class="line"> <span class="comment">// value() method</span></div>
<div class="line"> ext::shared_ptr<PathPricer<Path> > myPathPricer(<span class="keyword">new</span></div>
<div class="line"> ReplicationPathPricer(payoff_.optionType(), payoff_.strike(),</div>
<div class="line"> r_, maturity_, sigma_));</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// a statistics accumulator for the path-dependant Profit&Loss values</span></div>
<div class="line"> <a name="_a26"></a><a class="code" href="class_quant_lib_1_1_generic_risk_statistics.html" title="empirical-distribution risk measures">Statistics</a> statisticsAccumulator;</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// The Monte Carlo model generates paths using myPathGenerator</span></div>
<div class="line"> <span class="comment">// each path is priced using myPathPricer</span></div>
<div class="line"> <span class="comment">// prices will be accumulated into statisticsAccumulator</span></div>
<div class="line"> <a name="_a27"></a><a class="code" href="class_quant_lib_1_1_monte_carlo_model.html" title="General-purpose Monte Carlo model for path samples.">MonteCarloModel<SingleVariate,PseudoRandom></a></div>
<div class="line"> MCSimulation(myPathGenerator,</div>
<div class="line"> myPathPricer,</div>
<div class="line"> statisticsAccumulator,</div>
<div class="line"> <span class="keyword">false</span>);</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// the model simulates nSamples paths</span></div>
<div class="line"> MCSimulation.addSamples(nSamples);</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// the sampleAccumulator method</span></div>
<div class="line"> <span class="comment">// gives access to all the methods of statisticsAccumulator</span></div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> PLMean = MCSimulation.sampleAccumulator().mean();</div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> PLStDev = MCSimulation.sampleAccumulator().standardDeviation();</div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> PLSkew = MCSimulation.sampleAccumulator().skewness();</div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> PLKurt = MCSimulation.sampleAccumulator().kurtosis();</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// Derman and Kamal's formula</span></div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> theorStD = std::sqrt(M_PI/4/nTimeSteps)*vega_*sigma_;</div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> std::cout << std::fixed</div>
<div class="line"> << std::setw(8) << nSamples << <span class="stringliteral">" | "</span></div>
<div class="line"> << std::setw(8) << nTimeSteps << <span class="stringliteral">" | "</span></div>
<div class="line"> << std::setw(8) << std::setprecision(3) << PLMean << <span class="stringliteral">" | "</span></div>
<div class="line"> << std::setw(8) << std::setprecision(2) << PLStDev << <span class="stringliteral">" | "</span></div>
<div class="line"> << std::setw(12) << std::setprecision(2) << theorStD << <span class="stringliteral">" | "</span></div>
<div class="line"> << std::setw(8) << std::setprecision(2) << PLSkew << <span class="stringliteral">" | "</span></div>
<div class="line"> << std::setw(8) << std::setprecision(2) << PLKurt << std::endl;</div>
<div class="line">}</div>
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