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首页> 外文期刊>Journal of banking & finance >Liquidity-adjusted Intraday Value at Risk modeling and risk management: An application to data from Deutsche Borse
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Liquidity-adjusted Intraday Value at Risk modeling and risk management: An application to data from Deutsche Borse

机译:流动性调整后的日内风险价值建模和风险管理:德意志交易所数据的应用

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This paper develops a high-frequency risk measure: the Liquidity-adjusted Intraday Value at Risk (LIVaR). Our objective is to explicitly consider the endogenous liquidity dimension associated with order size. By reconstructing the open Limit Order Book of Deutsche Borse, changes in the tick-by-tick (ex-ante) frictionless return and actual return are modeled jointly. The risk related to the ex-ante liquidity premium is then quantified. Our model can be used to identify the impact of ex-ante liquidity risk on total risk, and to provide an estimation of the VaR for the actual return at a point in time. In our sample, liquidity risk can account for up to 32% of total risk depending on order size. (C) 2015 Elsevier B.V. All rights reserved.
机译:本文提出了一种高频风险度量:流动性调整后的日内风险价值(LIVaR)。我们的目标是明确考虑与订单大小相关的内源性流动性维度。通过重建开放的德意志交易所限价订单簿,可以对无波动收益率和实际收益率的逐笔变动(事前)进行建模。然后量化与事前流动性溢价有关的风险。我们的模型可用于识别事前流动性风险对总风险的影响,并提供某个时间点实际收益的VaR估计。在我们的样本中,取决于订单大小,流动性风险最多可占总风险的32%。 (C)2015 Elsevier B.V.保留所有权利。

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