Real Estate Price Volatility Research Paper Example | Topics and Well Written Essays - 1000 words

Real Estate Price Volatility - Research Paper Example In this context, the present paper attempts to discuss about one of the early developed models that is still prevalent in the present economic scenario. The model was developed by R. Engle in 1982, which came to be known as Autoregressive Conditional Heteroskedasticity (ARCH). The paper also attempts to through lights on how effective is the model in the present real estate climate in the United States of America with particular reference to California. The paper takes an analytical approach wherein the model is suggested with a brief explanation of its application, merits and demerits. The various stakeholders (participants) in the real estate market comprising of real estate investors, banks, non-bank financial institutions, portfolio managers have always been curious to predict the local housing prices. Naturally, they have always encouraged the attempts to evolve mathematical models that can prevent the losses and chaos from the volatility of real estate prices. Parties who are also interested in housing prices estimating models include managers of banks, Real Estate Investment Trusts (REITs), and homebuilding companies. Prior models have tried to incorporate many of the macroeconomic variables including the bubbles and crashes in the stock market. Experts such as Alan Stockman and Tesar Linda, Lane Philip and Girouard N and Bl'ndal have described the housing price behavior from a dynamic general equilibrium point of view (Stockman and Tesar, 1995, Girouard and Bl'ndal, 2001 and Lane, 2001). Studies undertaken by Driffill John and Sola Martin explored the model in the context of market bubbles (Driffill and Sola 1998). Attempts have also been done to evolve a model that incorporate the interaction of an array of variables such as transactions in the real estate sector, changes in the demography of participants, and macro factors comprising of diversity in the income distribution and changes in the economic activity as a whole. For example, Francois Ortalo-Magne and Rady Sven have studied these aspects through a significant research (Ortalo-Magne and Rady 1998, 1999, 2003a and 2003b). Economic Analysis The model developed by R. Engle in 1982 is found relevant in the present scenario where traditional models that describe variables such as location factors, structural variables and floor area and income are no longer valid (Engle 1982). This model was coined as Autoregressive Conditional Heteroskedasticity (ARCH). The basic contention of this model is that housing price prediction should take care of time-varying volatility and studied through time series analysis. The Model The ARCH model was developed using mathematical and statistical notations and theories. For a better understanding of the model, the ARCH process consisting of conditional mean process and a conditional variance process will have to be known. The conditional mean process is developed in conformity to the standard Autoregressive Moving Average (ARMA) equation (Engle 1982). Where, Rt is the return on average home prices on a monthly basis, e, and s2 are constants. Through this model, Engle try to analyze and incorporate the pricing behavior with two

The Privatization of Intelligence Term Paper Example | Topics and Well Written Essays - 6000 words

The Privatization of Intelligence - Term Paper Example The conventional intelligence cycle is characterized as fragmented and Clark argues for a more conjoined intelligence cycle under what is described as a target-centric approach to intelligence collection and sharing. However, one of the significant post-9/11 changes made to the intelligence cycle was the outsourcing of intelligence to the private sector. The Department of Homeland Security explained that since 9/11 the DHS has enhanced private sector involvement for â€Å"facilitating more effective and rapid communication with key organizations† and as a means of â€Å"bolstering regionally-focused information sharing efforts†. Russell argues however, that the intelligence community remains fragmented in that a number of agencies are responsible for collecting intelligence. For example, the National Security Agency is responsible for intercepting and decoding â€Å"communications†; the National Geospatial-Intelligence is responsible for analysing satellite images; the Defense Intelligence Agency is responsible for running â€Å"military defense attachà © collection abroad;and the Department of State oversees the collection of information from diplomats abroad. Moreover, the CIA has its own collection functions and also recruits spies for the benefit of US security. Complicating matters,the different agencies within the intelligence community have a tendency to jealously guard their information. While putting a tight lid on information can be justified on the grounds that it is too sensitive to risk unauthorised leaks, often times, information â€Å"hoarding† is cultivated by â€Å"petty bureaucratic rivalries†.8 This is problematic since analysts are required to make informed assumptions on the basis of information received from all the various sources of intelligence.9 Intelligence that merely informs decision-makers of what is taking place abroad or at home has less intrinsic value than intelligence that informs of what might be happening.10 The outsourcing of intelligence functions to the private sector can only serve to further fragment the collection and