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In this paper we introduce a new way to estimate the spot volatility of high frequency foreign exchange data using the … Hilbert-Huang Transform. We also propose and test a consistent spot volatility estimate in the presence of microstructure … trading market in which competing volatility forecasts buy and sell straddle options to one another using real high frequency …
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use of computational methods and techniques for modelling financial asset prices, returns, and volatility, and on the use … of numerical methods for pricing, hedging, and risk management of financial instruments. …
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impact of such concepts, e.g. effects on the price formation or the volatility of prices, a simulation environment is … market prices. On the other hand, lower latency appears to lower market volatility. -- Algorithmic Trading ; Simulation … conducted by comparing different simulation runs including and excluding a trader constituting an algorithmic trading model in …
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employs an agent-based simulation to examine the influence of a simple HFT strategy in a continuous double auction market. In … that market volatility increased with the number of HF traders, and the profits of those traders may come at the expense of … long-term oriented investors. These findings may justify some of the concerns of regulators. The simulation setting helps …
Persistent link: https://www.econbiz.de/10013114186
-type market simulation in a discrete-time, one-asset world. We analyse both the observable factors average bid-offer spread and … volatility as well as the unobservable distribution of profits and losses of the market participants. We conclude that regarding …
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In this work we simulate algorithmic trading (AT) in asset markets to clarify its impact. Our markets consist of human and algorithmic counterparts of traders that trade based on technical and fundamental analysis, and statistical arbitrage strategies. Our specific contributions are: (1)...
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