Customer Reviews "The crescendo of storylines colliding at the end will keep readers on the edge of their seats in anticipation. A great read!" "A fantastic thriller by an obviously well researched author. My connection with the characters was immediate and I really felt like I knew them by the end of the book." "Ben Craig is a talented writer and his words transform." Within: A Medical Suspense Novel This is the story of Andy Stone, his mother and his family, and a doctor with a breakthrough cancer treatment, and a drug company that will stop at nothing to suppress it. This is a story about cancer and hope, about a better way to treat the disease. The tired ways of conventional hospitals and the one-shot-fits-all solutions of drug companies are tragically incomplete. A revolution is happening, in the way we treat and think about cancer. It's happening now, today, all over the world. Powerful institutions will seek to quell this rebellion, but they will fail, like trying to suppress a rising tide. For decades, Sarah Stone searched for a new way. She grew tired of the cancer drugs of old. A nurse herself, she became skeptical of the sterile hospitals with cookie-cutter treatments, sugar-infested vending machines, and nurses sneaking outside to smoke cigarettes. But Sarah Stone has found something new. Big business and conventional medicine will try to stop it. They will fight with everything they have. They will come after the revolutionary doctor. At the twilight of her life, during her third bout with cancer, after endless sessions of chemo and radiation, after being diagnosed with metastasized cancer in her bones, her lungs, her liver and intestines. Sarah Stone can see a faint light of hope on the horizon. Andy just hopes it isn't too late.

This paper computes data-driven correlation networks based on the stock returns of international banks and conducts a comprehensive analysis of their topological properties. We first apply spatial-dependence methods to filter the effects of strong common factors and a thresholding procedure to select the significant bilateral correlations. The analysis of topological characteristics of the resulting correlation networks shows many common features that have been documented in the recent literature but were obtained with private information on banks' exposures, including rich and hierarchical structures, based on but not limited to geographical proximity, small world features, regional homophily, and a core-periphery structure.

We look at the effect of capital rules on a banking system that is connected through correlated credit exposures and interbank lending. The rules, which combine individual bank characteristics and interconnectivity measures of interbank lending, are to minimize a measure of system-wide losses. Using the detailed German Credit Register for estimation, we find capital rules based on eigenvectors to dominate any other centrality measure, followed by closeness. Compared to the baseline case, capital reallocation based on the Adjacency Eigenvector saves about 15% in system losses as measured by expected bankruptcy costs.