Modeling options markets by focusing on active traders
In this work, we study the complex behavior of options markets characterized by the volatility smile phenomenon, through microsimulation (MS). We adopt two types of active traders in our MS model: speculators and arbitrageurs, and call and put options on one underlying asset. Speculators make decisi...
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sg-ntu-dr.10356-843252020-05-28T07:18:14Z Modeling options markets by focusing on active traders Qiu, G. Kandhai, D. Sloot, Peter M. A. School of Computer Engineering In this work, we study the complex behavior of options markets characterized by the volatility smile phenomenon, through microsimulation (MS). We adopt two types of active traders in our MS model: speculators and arbitrageurs, and call and put options on one underlying asset. Speculators make decisions based on their expectations of the asset price at the option expiration time. Arbitrageurs trade at dierent arbitrage opportunities such as violation of put-call parity. Dierence in liquidity among options is also included. Notwithstanding its simplicity, our model can generate implied volatility (IV) curves similar to empirical observations. Our results suggest that the volatility smile is related to the competing eect of heterogeneous trading behavior and the impact of dierential liquidity. 2013-06-11T02:33:35Z 2019-12-06T15:42:47Z 2013-06-11T02:33:35Z 2019-12-06T15:42:47Z 2012 2012 Journal Article Qiu, G., Kandhai, D., & Sloot, P. M. A. (2012). Modeling options markets by focusing on active traders. Procedia Computer Science, 1(1), 2457-2462. https://hdl.handle.net/10356/84325 http://hdl.handle.net/10220/10153 10.1016/j.procs.2010.04.277 en Procedia computer science © 2012 Published by Elsevier B.V. |
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In this work, we study the complex behavior of options markets characterized by the volatility smile phenomenon, through microsimulation (MS). We adopt two types of active traders in our MS model: speculators and arbitrageurs, and call and put options on one underlying asset. Speculators make decisions based on their expectations of the asset price at the option expiration time. Arbitrageurs trade at dierent arbitrage opportunities such as violation of put-call parity. Dierence in liquidity among options is also included. Notwithstanding its simplicity, our model can generate implied volatility (IV) curves similar to empirical observations. Our results suggest that the volatility smile is related to the competing eect of heterogeneous trading behavior and the impact of dierential liquidity. |
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School of Computer Engineering |
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School of Computer Engineering Qiu, G. Kandhai, D. Sloot, Peter M. A. |
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Qiu, G. Kandhai, D. Sloot, Peter M. A. |
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Qiu, G. Kandhai, D. Sloot, Peter M. A. Modeling options markets by focusing on active traders |
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Qiu, G. |
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Modeling options markets by focusing on active traders |
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Modeling options markets by focusing on active traders |
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Modeling options markets by focusing on active traders |
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Modeling options markets by focusing on active traders |
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Modeling options markets by focusing on active traders |
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modeling options markets by focusing on active traders |
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2013 |
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https://hdl.handle.net/10356/84325 http://hdl.handle.net/10220/10153 |
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