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首页> 外文期刊>Central European Journal of Economic Modelling and Econometrics >Modelling Foreign Exchange Realized Volatility Using High Frequency Data: Long Memory versus Structural Breaks
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Modelling Foreign Exchange Realized Volatility Using High Frequency Data: Long Memory versus Structural Breaks

机译:使用高频数据对外汇实现的波动建模:长记忆与结构性断裂

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In this study, we model realized volatility constructed from intra-day highfrequency data. We explore the possibility of confusing long memory and structural breaks in the realized volatility of the following spot exchange rates: EUR/USD, EUR/JPY, EUR/CHF, EUR/GBP, and EUR/AUD. The results show evidence for the presence of long memory in the exchange rates’ realized volatility. From the Bai–Perron test, we found structural breakpoints that match significant events in financial markets. Furthermore, the findings provide strong evidence in favour of the presence of long memory.
机译:在本研究中,我们对根据日内高频数据构建的已实现波动率进行建模。我们探讨了以下现货汇率的已实现波动中混淆长期记忆和结构性中断的可能性:欧元/美元,欧元/日元,欧元/瑞士法郎,欧元/英镑和欧元/澳元。结果表明,汇率实现的波动性中存在长时记忆。通过Bai-Perron检验,我们发现了与金融市场中重大事件相匹配的结构性断点。此外,这些发现为长期记忆的存在提供了有力的证据。

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