Integration of Satellite and Financial Data to Model Future Economic Impact of Citrus Crops (Final Project Report)

This study analyzed the health and overall landcover of citrus crops in Florida. The analysis was completed using Landsat satellite imagery available free of charge from the University of Maryland Global Landcover Change Facility. The project hypothesized that combining citrus production (economic) data with citrus area per county derived from spectral signatures would yield correlations between observable spectral reflectance throughout the year, and the fiscal impact of citrus on local economies. A positive correlation between these two data types would allow us to predict the economic impact of citrus using spectral data analysis to determine final crop harvests.

Principal component and second generation wavelet analysis of Treasury yield curve evolution

Prices of U.S. Treasury securities vary over time and across maturities. When the market in Treasurys is sufficiently complete and frictionless, these prices may be modeled by a function time and maturity. A cross-section of this function for time held fixed is called the yield curve; the aggregate of these sections is the evolution of the yield curve. This dissertation studies aspects of this evolution. ^ There are two complementary approaches to the study of yield curve evolution here. The first is principal components analysis; the second is wavelet analysis. In both approaches both the time and maturity variables are discretized. In principal components analysis the vectors of yield curve shifts are viewed as observations of a multivariate normal distribution. The resulting covariance matrix is diagonalized; the resulting eigenvalues and eigenvectors (the principal components) are used to draw inferences about the yield curve evolution. ^ In wavelet analysis, the vectors of shifts are resolved into hierarchies of localized fundamental shifts (wavelets) that leave specified global properties invariant (average change and duration change). The hierarchies relate to the degree of localization with movements restricted to a single maturity at the base and general movements at the apex. Second generation wavelet techniques allow better adaptation of the model to economic observables. Statistically, the wavelet approach is inherently nonparametric while the wavelets themselves are better adapted to describing a complete market. ^ Principal components analysis provides information on the dimension of the yield curve process. While there is no clear demarkation between operative factors and noise, the top six principal components pick up 99% of total interest rate variation 95% of the time. An economically justified basis of this process is hard to find; for example a simple linear model will not suffice for the first principal component and the shape of this component is nonstationary. ^ Wavelet analysis works more directly with yield curve observations than principal components analysis. In fact the complete process from bond data to multiresolution is presented, including the dedicated Perl programs and the details of the portfolio metrics and specially adapted wavelet construction. The result is more robust statistics which provide balance to the more fragile principal components analysis. ^

Rio and the Reds: The Comando Vermelho, Organized Crime and Brazil’s Economic Ascent [Student’s Paper Series]

Brazil’s growing status as a potential world power cannot obscure the characteristics of its other reality: that of a country with vast inequalities and high crime rates. The Comando Vermelho, the most prominent organized crime syndicate in Rio de Janeiro, besieges the beauty and charm that attracts tourists to this city. The CV arose not only as a product of the political dictatorship of the seventies, but also of the disenfranchised urban poor crammed into Rio’s favela slums. Today, the CV presents a powerful challenge to the State’s control of parts of Rio territory. As Brazil’s soft power projection grows, it is seriously challenged by its capacity to eliminate organized crime. Economic growth is not sufficient to destroy a deeply embedded organization like the CV. In fact, Brazil’s success may yet further retrench the CV’s activities. Culpability for organized crime cannot be merely limited to the gangs, but must also be shared among the willing consumers, among whom can be found educated and elite members of society, as well as the impoverished and desperate. The Brazilian government needs a top-down response addressing the schism between rich and poor. However, Brazil’s citizens must also take responsibility and forge a bottom-up response to the drug- and corruption-riddled elements of its most respected members of society. Brazil must target reform across public health, housing, education and above all, law enforcement. Without such changes, Brazil will remain a two-track democracy. Rio’s wealthy will still be able to revel in the city’s beauty albeit from behind armored cars and fortified mansions, while the city’s poor will yield – either as victims or perpetrators – to the desperate measures of organized crime.