Search results for "Asset return"
showing 6 items of 6 documents
Scenario optimization asset and liability modelling for individual investors
2006
We develop a scenario optimization model for asset and liability management of individual investors. The individual has a given level of initial wealth and a target goal to be reached within some time horizon. The individual must determine an asset allocation strategy so that the portfolio growth rate will be sufficient to reach the target. A scenario optimization model is formulated which maximizes the upside potential of the portfolio, with limits on the downside risk. Both upside and downside are measured vis- `a-vis the goal. The stochastic behavior of asset returns is captured through bootstrap simulation, and the simulation is embedded in the model to determine the optimal portfolio. …
¿Puede un factor réplica del crecimiento económico futuro (PIB) explicar los rendimientos de los activos financieros cotizados en la bolsa española?
2020
El objetivo de este trabajo es analizar si un factor con capacidad predictiva sobre el crecimiento económico futuro, captura los rendimientos de los activos cotizados en la bolsa española. A su vez, se analiza la posible interpretación racional económica de los factores de Fama y French y momentum, como variables con información sobre dicho crecimiento económico futuro. Se cuantifican estos efectos para las etapas de crisis (económica: 1993-1997 y financiera: 2008-2011) y de expansión económica (1998-2007). Los resultados subrayan la relevancia y capacidad explicativa de este factor predictivo pero se encuentra una interpretación económica débil de los factores tamaño y ratio book-to-market…
Timescale-dependent stock market comovement: BRICs vs. developed markets
2014
This paper examines the differences in the asset return comovement of the BRIC countries (Brazil, Russia, India and China), the other developed economies in their regions (Canada, Hong Kong and Australia) and the major industrialized economies (the U.K., Germany and Japan) with respect to the U.S. for different return periods. The novelty of the paper is that the stock return indices are decomposed to several timescales using wavelet analysis and that the results are further used as inputs for the dynamic conditional correlation (DCC) framework, which is used as a measure of comovement. The results propose that the level of stock market comovement depends on regional aspects, the level of d…
Learning and the Price Dynamics of a Double-Auction Financial Market with Portfolio Traders
2006
In this paper we study the dynamics of price adjustments in an artificial market where portfolio traders with bounded rationality and limited resources interact through a continuous, electronic open book. The present work extends the model developed in [? ] introducing endogenous target individual portfolio holdings. We model the agents’ order-flow investment decision as an optimal choice given individual characteristics and the available information. We depart from the standard asset pricing framework in two ways. First, we assume that investors have imperfect information about the returns distribution. In particular, we assume that agents hold arbitrary priors about securities’ returns, w…
Asset Return Dynamics under Alternative Learning Schemes
2009
In this paper we design an artificial financial market where endogenous volatility is created assigning to the agents diverse prior beliefs about the joint distribution of returns, and, over time, making agents rationally update their beliefs using common public information. We analyze the asset price dynamics generated under two learning environments: one where agents assume that the joint distribution of returns is IID, and another where agents believe in the existence of regimes in the joint distribution of asset returns. We show that the regime switching learning structure can generate all the most common stylized facts of financial markets: fat tails and long-range dependence in volati…
Degree stability of a minimum spanning tree of price return and volatility
2002
We investigate the time series of the degree of minimum spanning trees obtained by using a correlation based clustering procedure which is starting from (i) asset return and (ii) volatility time series. The minimum spanning tree is obtained at different times by computing correlation among time series over a time window of fixed length $T$. We find that the minimum spanning tree of asset return is characterized by stock degree values, which are more stable in time than the ones obtained by analyzing a minimum spanning tree computed starting from volatility time series. Our analysis also shows that the degree of stocks has a very slow dynamics with a time-scale of several years in both cases.