Titlebook: Asset Pricing, Real Estate and Public Finance over the Crisis; Alessandro Carretta (Full professor of Financial M Book 2013 Palgrave Macmi

maudtin

Francesco Ballardin,Massimo Merron by noise and so it is unpredictable (Fama, 1965). Literature demonstrates that irrational behaviour characterizes almost all the markets and random price dynamics in the financial market could be used in order to construct profitable investment strategies (i.a. De Long et al., 1990). The current f

手勢(shì)

Gilles Barthe,Anupam Datta,Sandro Etalle financial markets (Fama, 1970), stock prices should reflect all available information. However, the evidence of an autocorrelation of stock returns at short horizons (Jegadeesh and Titman, 1993; Moskowitz and Grinblatt, 1999; Hong et al., 2007) suggests that that stock prices do not fully adjust to

材料等

https://doi.org/10.1007/BFb0061280In particular, media and policy makers are concerned about how futures and options may affect the underlying spot market. In fact, it is believed that derivatives’ trading attracts speculators who can destabilize spot prices, allowing them to use the leverage and requiring only a margin of the entir

多產(chǎn)魚(yú)

Visual-Field

Agnès Braud,Aleksey Buzmakov,Florence Le Beres, generate forecasts on companies’ earnings and future prospects, and make recommendations that lead to buying or selling of the companies’ securities by investors. So they provide valuable research to investors and facilitate optimal capital allocation. Indeed financial analyst research aims at f

GROWL

Dominik Dürrschnabel,Gerd Stummeers and specialized traders. Forecasting the future returns has always been a major concern for the players in stock markets and one of the most challenging applications studied by researchers and practitioners extensively. Predicting the financial market is a very complex task, because the financia

實(shí)現(xiàn)

Agnès Braud,Aleksey Buzmakov,Florence Le Ber divided into two sections. In the first section, we discuss the nature and availability of property data for the Italian market. Our initial exploration of the quality and accessibility of some domestic data documents the presence of many property data sources, each of which uses different methods

Ornament

https://doi.org/10.1007/978-3-030-77867-5e location of real estate assets were initially the most valid segments for an efficient diversification (Miles and McCue, 1982). By this time, more sophisticated methods had been elaborated to provide a better segmentation, expanding the possibilities of intra-asset diversification. In particular,

Spongy-Bone

Robust