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Weather derivative hedging & Swap illiquidity Dr. Michael Moreno.

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Presentation on theme: "Weather derivative hedging & Swap illiquidity Dr. Michael Moreno."— Presentation transcript:

1 Weather derivative hedging & Swap illiquidity Dr. Michael Moreno

2 Dr. Michael Moreno2 Call/Put Hedging Diversification or Static hedging (portfolio oriented) –PCA –Markowitz –SD Dynamic hedging (Index hedging)

3 Dr. Michael Moreno3 Dynamic Hedging 1. Temperature Simulation process used 2. Swap hedging and cap effects 3. Greeks neutral hedging

4 Dr. Michael Moreno4 1. Temperature Simulation process used

5 Dr. Michael Moreno5 Temperature simulation GARCH ARFIMA FBM ARFIMA-FIGARCH Bootstrapp Long Memory Homoskedasticity Short Memory Heteroskedasticity Heteroskedasticity & Long Memory Part 1 Temperature Simulation process used

6 Dr. Michael Moreno6 ARFIMA-FIGARCH model Seasonality TrendARFIMA-FIGARCH Part 1 Temperature Simulation process used Seasonal volatility

7 Dr. Michael Moreno7 ARFIMA-FIGARCH definition Where, as in the ARMA model, is the unconditional mean of y t while the autoregressive operator and the moving average operator are polynomials of order a and m, respectively, in the lag operator L, and the innovations t are white noises with the variance σ 2. We consider first the ARFIMA process: Part 1 Temperature Simulation process used

8 Dr. Michael Moreno8 FIGARCH noise Part 1 Temperature Simulation process used Given the conditional variance We suppose that Cf Baillie, Bollerslev and Mikkelsen 96 or Chung 03 for full specification Long term memory

9 Dr. Michael Moreno9 Distributions of London winter HDD HistoSim Average St Dev Skewness Kurtosis Minimum Maximum With similar detrending methods The slight differences come mainly from the year 1963 Part 1 Temperature Simulation process used

10 Dr. Michael Moreno10 2. Swap hedging and cap effects

11 Dr. Michael Moreno11 Swap Hedging Long HDD Call and opt call HDD Swap Long HDD Put and opt put HDD Swap Dynamic values Part 2 Swap hedging and cap effects

12 Dr. Michael Moreno12 Deltas of a capped call Part 2 Swap hedging and cap effects

13 Dr. Michael Moreno13 Deltas of capped swaps Part 2 Swap hedging and cap effects

14 Dr. Michael Moreno14 Call optimal delta hedge opt call = call / swap NOT = 1 Part 2 Swap hedging and cap effects

15 Dr. Michael Moreno15 Put optimal delta hedge opt put = put / swap NOT = 1 Part 2 Swap hedging and cap effects

16 Dr. Michael Moreno16 3. Greeks neutral hedging

17 Dr. Michael Moreno17 Traded swap levels THE DATA USED IS MOST CERTAINLY INCOMPLETE We would like to thank Spectron Group plc for providing the weather market swap data Part 3 Greeks Neutral Hedging

18 Dr. Michael Moreno18 Historical swap levels LONDON HDD December Forward 380 Before the period started: swap level below Then swap level above like the partial index Part 3 Greeks Neutral Hedging

19 Dr. Michael Moreno19 Historical swap levels LONDON HDD January Forward 400 Before the period started: swap level below Then swap level has 2 peaks and does not follow the partial index evolution which is well above the mean Part 3 Delta Vega Neutral Hedging

20 Dr. Michael Moreno20 Historical swap levels LONDON HDD February Forward 350 Before the start of the period, the swap level is well below the forward Then swap level converges toward with forward Part 3 Greeks Neutral Hedging

21 Dr. Michael Moreno21 Historical swap levels LONDON HDD March Forward 340 Before the period started: swap level below the forward Then swap level converges toward final swap level Part 3 Greeks Neutral Hedging

22 Dr. Michael Moreno22 Swap level Behaviour OF COURSE IT DEPENDS ON THE MODEL USED TO ESTIMATE THE FORWARD REFERENCE The swap seems to start to trade below its forward before the start of the period and remains quite constant prior the start of the period (or 10 days before) The swap level converges quickly to its final value (10 days in advance) There can be very erratic levels Part 3 Greeks Neutral Hedging

23 Dr. Michael Moreno23 Consequences on Option Hedging Before the start of the period when the swap level is below the forward (if it really is!) then the swap has a strong theta, a non zero gamma (if capped) and a delta away from 1 (if capped) The delta of the traded swap convergences towards 1 slowly 10 days before the end of the period, the delta is close to 1, the theta is close to zero, the gamma is close to zero The vega of the option will be close to zero 10 days before the end of the period Erratic swap levels must not be taken into account Before the start of the period, assuming the swap level is quite constant, it is easier to sell the option volatility than during the period During the period, the theta of the option will not offset the theta of the swap, nor will the gamma of the option offset the gamma of the swap Part 3 Greeks Neutral Hedging

24 Dr. Michael Moreno24 No neutral hedging Due to the cap on the swap and swap illiquidity the resulting position is likely to be non Delta neutral, non Gamma neutral, non Theta neutral and non Vega neutral If the swaps are kept (impossible to roll the swaps), the Gamma and Theta issues are likely to grow Solutions: –Minimise function of Greeks –Minimise function of payoffs (e.g. SD) Part 3 Greeks Neutral Hedging

25 Dr. Michael Moreno25 Market Assumptions Bid/Ask spread of Swap is 1% of standard deviation (London Nov-Mar Stdev 100 => spread = 1 HDD). No market bias: (Bid + Ask) / 2 = Model Forward Option Bid/Ask spread is 20 % of StDev. Part 3 Greeks Neutral Hedging

26 Dr. Michael Moreno26 Trajectory example : decrease in vol (15%) implies a higher gamma and theta => rehedge 2: increase in vol => less sensitive to gamma and theta but forward down by 25% of vol => rehedge 3: forward down, vol still high and will go down quickly (near the end of the period) => rehedge 4: sharp decrease in vol and forward => rehedge Part 3 Greeks Neutral Hedging

27 Dr. Michael Moreno27 Simulation results summary The smaller the caps on the swap the higher the frequency of adjustment must be and the higher is the hedging cost (transaction/market/back office cost). Alternately we can keep the swap to hedge extreme unidirectional events. For out of the money options, if the caps of the option are identical to the caps of the swap, then the hedging adjustment frequency is reduced (delta, gamma are close). The combination of swap illiquidity with caps creates a substantial bias in Greeks Hedging. The higher the caps the more efficient is the hedge. Optimising a portfolio using SD, Markowitz or PCA criterias is still a favoured solution for hedging but is inappropriate for option volatility traders. Part 3 Greeks Neutral Hedging

28 Dr. Michael Moreno28 Conclusion With the success of CME contracts, other exchanges and new players may enter into the weather market. This may increase liquidity which will make dynamic hedging of portfolios more practical. New speculators such as volatility traders may be attracted. This may give the opportunity to offer more complex hedging tools that the primary market needs with lower risk premia.

29 Dr. Michael Moreno29 References J.C. Augros, M. Moreno, Book Les dérivés financiers et dassurance, Ed Economica, R. Baillie, T. Bollerslev, H.O. Mikkelsen, Fractionally integrated generalized autoregressive condition heteroskedasticity, Journal of Econometrics, 1996, vol 74, pp F.J. Breidt, N. Crato, P. de Lima, The detection and estimation of long memory in stochastic volatility, Journal of econometrics, 1998, vol 83, pp D.C. Brody, J. Syroka, M. Zervos, Dynamical pricing of weather derivatives, Quantitative Finance volume 2 (2002) pp , Institute of physics publishing R. Caballero, Stochastic modelling of daily temperature time series for use in weather derivative pricing, Department of the Geophysical Sciences, University of Chicago, Ching-Fan Chung, Estimating the FIGARCH Model, Institute of Economics, Academia Sinica, M. Moreno, "Riding the Temp", published in FOW - special supplement for Weather Derivatives M. Moreno, O. Roustant, Temperature simulation process, Book La Réassurance, Ed Economica, Marsh Spectron Ltd for swap levels


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