Securities Scam Genesis, Mechanics and Impact

The term "securities scam" refers to a diversion of funds to the tune of over Rs. 3500 crores from the banking system to various stockbrokers in a series of transactions (primarily in Government securities) during the period April 1991 to May 1992. The scam has for several months become a permanent feature of the front pages of the newspapers. Despite the massive media coverage of the scam, most readers found it hard to understand it particularly when they were confronted with arcane terms and acronyms like ready forward, double ready forward, SGL, PDO, BR, PMS etc. Nevertheless an understanding of the scam is a prerequisite for any meaningful analysis of policy alternatives to improve the functioning of the financial system. This paper presents a plausible reconstruction of how the scam originated, how it was perpetrated, and what would be its aftermath. The paper is expository in nature and the authors make no claims to omniscience. The paper goes on to discuss the response of the government to the scam in terms of 1) discovering and punishing the guilty, 2) recovering the money, and 3) reforming the system. While agreeing with the importance of discovering and punishing the guilty, the paper argues that the attempt of the government to recover the money by such measures as the tainted shares law which cause severe and unjustified hardship to genuine and innocent investors is misguided. Turning to the arena of reforms of the financial system, the paper argues that the origins of the scam lie in overregulation of our markets. It recommends that normal transactions must be allowed to be done openly and transparently, and the role of brokers as market makers must be recognized. The second lesson from the scam is that artificial insulation of closely related markets from each other is counterproductive in the long run. Artificial barriers between the money market and the capital market, between the market for corporate securities and the market for government securities and between the formal money market and the informal one must be eliminated.

Garth Bruen: Newtown Scam Report

For most of us the sight of a horrible tragedy triggers an "I wish I could help" reaction. This is in our nature as normal and most of us will contribute to our community at one time or another with sweat or cash from our wallet. I say "most" because there is an insidious population which only takes and never gives in times of tragedy. These vultures are persistently waiting in the wings for disaster to strike the innocent so they can collect off of your grief and good nature. Whether it was 9/11, the 2004 tsunami, hurricane Katrina, the gulf oil spill, or the horrid mass murder in Newtown, Connecticut, cold hearted charity scammers see only dollar signs in the suffering of others. It is bad enough to be ripped off online, but to have your money stolen with the belief you are helping someone is the ultimate insult

The Online dating romance scam: The psychological impact on victims – both financial and non-financial

This paper examined the psychological impact of the online dating romance scam. Unlike other mass-marketing fraud victims, these victims experienced a ‘double hit’ of the scam: a financial loss and the loss of a relationship. For most, the loss of the relationship was more upsetting than their financial losses (many described the loss of the relationship as a ‘death’). Some described their experience as traumatic and all were affected negatively by the crime. Most victims had not found ways to cope given the lack of understanding from family and friends. Denial (e.g., not accepting the scam was real or not being able to separate the fake identity with the criminal) was identified as an ineffective means of coping, leaving the victim vulnerable to a second wave of the scam. Suggestions are made as to how to change policy with regards to law enforcement deal with this crime

Computational Methods for Parameter Estimation in Climate Models

Intensive computational methods have been used by Earth scientists in a wide range of problems in data inversion and uncertainty quantification such as earthquake epicenter location and climate projections. To quantify the uncertainties resulting from a range of plausible model configurations it is necessary to estimate a multidimensional probability distribution. The computational cost of estimating these distributions for geoscience applications is impractical using traditional methods such as Metropolis/Gibbs algorithms as simulation costs limit the number of experiments that can be obtained reasonably. Several alternate sampling strategies have been proposed that could improve on the sampling efficiency including Multiple Very Fast Simulated Annealing (MVFSA) and Adaptive Metropolis algorithms. The performance of these proposed sampling strategies are evaluated with a surrogate climate model that is able to approximate the noise and response behavior of a realistic atmospheric general circulation model (AGCM). The surrogate model is fast enough that its evaluation can be embedded in these Monte Carlo algorithms. We show that adaptive methods can be superior to MVFSA to approximate the known posterior distribution with fewer forward evaluations. However the adaptive methods can also be limited by inadequate sample mixing. The Single Component and Delayed Rejection Adaptive Metropolis algorithms were found to resolve these limitations, although challenges remain to approximating multi-modal distributions. The results show that these advanced methods of statistical inference can provide practical solutions to the climate model calibration problem and challenges in quantifying climate projection uncertainties. The computational methods would also be useful to problems outside climate prediction, particularly those where sampling is limited by availability of computational resources.National Science Foundation OCE-0415251CONACyT-Mexico 159764Institute for Geophysic

Hot property investments, as safe as houses - dirty dealings and grubby grifters

Report of a titling fraud case in New South Wales