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We model the dynamics of ask and bid curves in a limit order book market using a dynamic semiparametric factor model. The shape of the curves is captured by a factor structure which is estimated nonparametrically. Corresponding factor loadings are assumed to follow multivariate dynamics and are modelled using a vector autoregressive model. Applying the framework to four stocks traded at the Australian Stock Exchange (ASX) in 2002, we show that the suggested model captures the spatial and temporal dependencies of the limit order book. Relating the shape of the curves to variables reflecting the current state of the market, we show that the recent liquidity demand has the strongest impact. In an extensive forecasting analysis we show that the model is successful in forecasting the liquidity supply over various time horizons during a trading day. Moreover, it is shown that the model’s forecasting power can be used to improve optimal order execution strategies.
We investigate, using the 2002 US Health and Retirement Study, the factors influencing individuals’ insecurity and expectations about terrorism, and study the effects these last have on households’ portfolio choices and spending patterns. We find that females, the religiously devout, those equipped with a better memory, the less educated, and those living close to where the events of September 2001 took place worry a lot about their safety. In addition, fear of terrorism discourages households from investing in stocks, mostly through the high levels of insecurity felt by females. Insecurity due to terrorism also makes single men less likely to own a business. Finally, we find evidence of expenditure shifting away from recreational activities that can potentially leave one exposed to a terrorist attack and towards goods that might help one cope with the consequences of terrorism materially (increased use of car and spending on the house) or psychologically (spending on personal care products by females in couples).