نتایج جستجو برای: dynamic programmingjel classification g14 c21 c22 c53 d84
تعداد نتایج: 886168 فیلتر نتایج به سال:
A weighted replicator dynamic describes how agents switch between a forecast based on fundamentals, a rational bubble forecast and a reective forecast, a weighted average of the former two. If the innovations to the extraneous martingale have a similar magnitude to those of the dividend process and agents are su¢ ciently aggressive in switching forecasting strategies, a signi cant portion of t...
This paper analyses revisions of Swiss current account data, taking into account the actual data revision process and the implied types of revisions. In addition we investigate whether the first release of current account data can be improved upon by the use of survey results as gathered by the KOF Swiss Economic Institute, ETH Zurich. An answer in the affirmative indicates that it is possible ...
A semiparametric extension of the GJR model (Glosten et al., 1993. Journal of Finance 48, 1779–1801) is proposed for the volatility of foreign exchange returns. Under reasonable assumptions, asymptotic normal distributions are established for the estimators of the model, corroborated by simulation results. When applied to the Deutsche Mark/US Dollar and the Deutsche Mark/British Pound daily ret...
in this paper using catastrophe theory, we investigate non-smooth changes in tehran stock exchange. stock market crashes bring not only panic among investors, but also in deeper market lead to recession and decrease in consumer's confidence. as catastrophe theory is strong tool in explaining nonlinear phenomena, by applying stochastic cusp catastrophe model we examine sudden change in tehr...
Our experiments investigate the extent to which traders learn from price, differentiating between situations where orders are submitted before versus after price has realized. In simultaneous markets with bids that conditional on neglect information conveyed by hypothetical value of price. sequential is known prior bid submission, react an roughly consistent benchmark theory. The difference’s r...
by Mordecai Kurz and Maurizio Motolese A very preliminary draft: February 2, 2010 Summary: Why do risk premia vary over time? We examine this problem theoretically and empirically by studying the effect of market belief on risk premia. Individual belief is taken as a fundamental, primitive, state variable. Market belief which is the distribution of individual beliefs is observable, it is centra...
In this paper we provide empirical findings on the significance of positive feedback trading for the return behavior in the German stock market. Relying on the ShillerSentana-Wadhwani model, we use the link between index return auto-correlation and volatility to obtain a better understanding into the return characteristics generated by traders adhering to positive feedback trading strategies. O...
We document that the expectations of households, firms, and professional forecasters in standard surveys simultaneously extrapolate from recent events underreact to new information. Existing models expectation formation, whether behavioral or rational, cannot account for these observations. develop a rational theory extrapolation based on limited attention, which is consistent with this evidenc...
I use parametric and semiparametric methods to test for the order of integration in stock market indexes. The results, which are based on the EOE (Amsterdam), DAX (Frankfurt), Hang Seng (Hong Kong), FTSE100 (London), S&P500 (New York), CAC40 (Paris), Singapore All Shares, and the Japanese Nikkei, show that in almost all of the series the unit root hypothesis cannot be rejected. The Hang Seng an...
We study the impact of nine categories of scheduled and unscheduled news announcements on the euro/ dollar return volatility. We highlight and analyze the pre-announcement, contemporaneous and postannouncement reactions. Using high-frequency intraday data and within the framework of ARCH-type models, we show that volatility increases in the pre-announcement periods, particularly before schedule...
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