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Essays on volatility and liquidity in financial markets

机译:金融市场波动和流动性论文

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摘要

The price formation of financial assets is a complex process. It extends beyond the standard economic paradigm of supply and demand to the understanding of the dynamic behavior of price variability, the price impact of information, and the implications of trading behavior of market participants on prices. In this thesis, I study aggregate market and individual assets volatility, liquidity dimensions, and causes of mispricing for US equities over a recent sample period. How volatility forecasts are modeled, what determines intradaily jumps and causes changes in intradaily volatility and what drives the premium of traded equity indexes? Are they induced, for example, by the information content of lagged volatility and return parameters or by macroeconomic news, changes in liquidity and volatility? Besides satisfying our intellectual curiosity, answers to these questions are of direct importance to investors developing trading strategies, policy makers evaluating macroeconomic policies and to arbitrageurs exploiting mispricing in exchange-traded funds. Results show that the leverage effect and lagged absolute returns improve forecasts of continuous components of daily realized volatility as well as jumps. Implied volatility does not subsume the information content of lagged returns in forecasting realized volatility and its components. The reported results are linked to the heterogeneous market hypothesis and demonstrate the validity of extending the hypothesis to returns. Depth shocks, signed order flow, the number of trades, and resiliency are the most important determinants of intradaily volatility. In contrast, spread shock and resiliency are predictive of signed intradaily jumps. There are fewer macroeconomic news announcement surprises that cause extreme price movements or jumps than those that elevate intradaily volatility. Finally, the premium of exchange-traded funds is significantly associated with momentum in net asset value and a number of liquidity parameters including the spread, traded volume, and illiquidity. The mispricing of industry exchange traded funds suggest that limits to arbitrage are driven by potential illiquidity.
机译:金融资产的价格形成是一个复杂的过程。它从供求的标准经济范式扩展到对价格可变性动态行为,信息的价格影响以及市场参与者的交易行为对价格的影响的理解。在本文中,我研究了最近一个样本期内市场和个人资产的总体波动性,流动性规模以及美国股票定价错误的原因。如何对波动率预测进行建模,如何确定日内跳跃并导致日内波动率发生变化,以及什么因素导致交易的股票指数溢价?例如,它们是由滞后的波动率和回报参数的信息内容引起的还是由宏观经济新闻,流动性和波动率的变化引起的?除了满足我们的求知欲,这些问题的答案对于制定交易策略的投资者,评估宏观经济政策的决策者以及利用交易所买卖基金定价错误的套利者也非常重要。结果表明,杠杆效应和滞后的绝对回报改善了对每日已实现波动率和跳跃的连续成分的预测。隐含波动率在预测实际波动率及其组成部分时并未包含滞后收益的信息内容。报告的结果与异构市场假设相关,并证明了将假设扩展至回报的有效性。深度震荡,签署的订单流,交易数量和弹性是日内波动率的最重要决定因素。相比之下,传播冲击和弹性可以预测日内跳动。与引发日内波动的事件相比,引起极端价格变动或跳跃的宏观经济新闻公告意外事件更少。最后,交易所买卖基金的溢价与资产净值的动量和许多流动性参数(包括价差,交易量和非流动性)密切相关。行业交易所交易基金的定价错误表明,套利限制是由潜在的非流动性驱动的。

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    Jurdi Doureige;

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  • 年度 2012
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