The Use Of A Financial Trading Room To Develop Risk Management Competency

The use of a financial trading room and its role in financial trading and risk management education are presented. The program makes use of experiential learning to aid students in the development of competency in financial trading by coupling knowledge with skill. The current status of program features and curriculum are presented first along with anecdotal evidence of its impacts on students. Next the immediate changes planned for the program are presented along with the long term objectives for the program. Conclusions regarding the role of financial trading in providing experiential learning and its impacts on students are presented last.&nbsp

Trading With A Day Job: Can Automated Trading Strategies Be Profitable?

The focus of the research is the profitability of using automated trading strategies. In other words, can trading strategies that are automatically executed in financial markets be profitable? In this study, three strategies are traded in a simulated environment under two different types of market conditions and on two different underlying assets. The trading strategies are based on a moving average crossover system with 5, 10, and 20 day moving averages. The first strategy uses only this moving average crossover system. The second strategy uses this same moving average system requiring increasing volume confirmation to make a trade. The final strategy uses this moving average crossover system but requires confirmation by a relative strength index to make a trade. The two market conditions used are an upward trending market and a consolidating market. The assets traded are the NASDQ 100 (i.e., QQQQ) and the S&P Deposit Receipts Trust (SPY). These assets tend to have different levels of volatility over time. The automated trading strategies are simulated using historical data and the trading software TradeStation. TradeStation allows for trading strategies to be implemented and tested on historic data at various time intervals and using a variety of time charts. A number of numeric values are also calculated by TradeStation including the number of trades and the profit or loss produced by these trades. The simulation results indicated that for both assets in markets that trend upwards, the moving average strategy with confirmation by the relative strength index dominated the other two strategies in terms of profits. During consolidating market periods, the simulation results are less clear. The magnitude of the profits when trading the relatively stable S&P varied across the three strategies and various time charts. However for the more volatile NASDQ 100, profits tended to be greater for the simple moving average strategy than the other two strategies

A transcriptional network associated with natural variation in Drosophila aggressive behavior

A genome-wide screen of inbred Drosophila lines together with transcriptional network modeling reveals insights into the genetic bases of heritable aggression

Genetic basis of transcriptome diversity in Drosophila melanogaster

Understanding how DNA sequence variation is translated into variation for complex phenotypes has remained elusive but is essential for predicting adaptive evolution, for selecting agriculturally important animals and crops, and for personalized medicine. Gene expression may provide a link between variation in DNA sequence and organismal phenotypes, and its abundance can be measured efficiently and accurately. Here we quantified genomewide variation in gene expression in the sequenced inbred lines of the Drosophila melanogaster Genetic Reference Panel (DGRP), increasing the annotated Drosophila transcriptome by 11%, including thousands of novel transcribed regions (NTRs). We found that 42%of the Drosophila transcriptome is genetically variable in males and females, including the NTRs, and is organized into modules of genetically correlated transcripts. We found that NTRs often were negatively correlated with the expression of protein-coding genes, which we exploited to annotate NTRs functionally. We identified regulatory variants for the mean and variance of gene expression, which have largely independent genetic control. Expression quantitative trait loci (eQTLs) for the mean, but not for the variance, of gene expression were concentrated near genes. Notably, the variance eQTLs often interacted epistatically with local variants in these genes to regulate gene expression. This comprehensive characterization of population-scale diversity of transcriptomes and its genetic basis in the DGRP is critically important for a systems understanding of quantitative trait variation

Integrative omics to detect bacteremia in patients with febrile neutropenia

Background: Cancer chemotherapy-associated febrile neutropenia (FN) is a common condition that is deadly when bacteremia is present. Detection of bacteremia depends on culture, which takes days, and no accurate predictive tools applicable to the initial evaluation are available. We utilized metabolomics and transcriptomics to develop multivariable predictors of bacteremia among FN patients. Methods: We classified emergency department patients with FN and no apparent infection at presentation as bacteremic (cases) or not (controls), according to blood culture results. We assessed relative metabolite abundance in plasma, and relative expression of 2,560 immunology and cancer-related genes in whole blood. We used logistic regression to identify multivariable predictors of bacteremia, and report test characteristics of the derived predictors. Results: For metabolomics, 14 bacteremic cases and 25 non-bacteremic controls were available for analysis; for transcriptomics we had 7 and 22 respectively. A 5-predictor metabolomic model had an area under the receiver operating characteristic curve of 0.991 (95%CI: 0.972,1.000), 100% sensitivity, and 96% specificity for identifying bacteremia. Pregnenolone steroids were more abundant in cases and carnitine metabolites were more abundant in controls. A 3-predictor gene expression model had corresponding results of 0.961 (95%CI: 0.896,1.000), 100%, and 86%. Genes involved in innate immunity were differentially expressed. Conclusions: Classifiers derived from metabolomic and gene expression data hold promise as objective and accurate predictors of bacteremia among FN patients without apparent infection at presentation, and can provide insights into the underlying biology. Our findings should be considered illustrative, but may lay the groundwork for future biomarker development

The Drosophila melanogaster Genetic Reference Panel

A major challenge of biology is understanding the relationship between molecular genetic variation and variation in quantitative traits, including fitness. This relationship determines our ability to predict phenotypes from genotypes and to understand how evolutionary forces shape variation within and between species. Previous efforts to dissect the genotype-phenotype map were based on incomplete genotypic information. Here, we describe the Drosophila melanogaster Genetic Reference Panel (DGRP), a community resource for analysis of population genomics and quantitative traits. The DGRP consists of fully sequenced inbred lines derived from a natural population. Population genomic analyses reveal reduced polymorphism in centromeric autosomal regions and the X chromosome, evidence for positive and negative selection, and rapid evolution of the X chromosome. Many variants in novel genes, most at low frequency, are associated with quantitative traits and explain a large fraction of the phenotypic variance. The DGRP facilitates genotype-phenotype mapping using the power of Drosophila genetics

In Support of a Patient-Driven Initiative and Petition to Lower the High Price of Cancer Drugs

Comment in Lowering the High Cost of Cancer Drugs--III. [Mayo Clin Proc. 2016] Lowering the High Cost of Cancer Drugs--I. [Mayo Clin Proc. 2016] Lowering the High Cost of Cancer Drugs--IV. [Mayo Clin Proc. 2016] In Reply--Lowering the High Cost of Cancer Drugs. [Mayo Clin Proc. 2016] US oncologists call for government regulation to curb drug price rises. [BMJ. 2015

Applying Sentinel Event Reviews to Policing

A sentinel event review (SER) is a system-based, multistakeholder review of an organizational error. The goal of an SER is to prevent similar errors from recurring in the future rather than identifying and punishing the responsible parties. In this article, we provide a detailed description of one of the first SERs conducted in an American police department—the review of the Lex Street Massacre investigation and prosecution, which resulted in the wrongful incarceration of four innocent men for 18 months. The results of the review suggest that SERs may help identify new systemic reforms for participating police departments and other criminal justice agencies