Volume 8, Issue 3, 2014
The predictive content of dynamic factor models in term structure modeling is evaluated and validated. Under a purely statistical data-driven approach, different sets of variables, estimation and forecasting...
This three-part series looks at the various factors that firms across the ecosystem of global FX markets - from the buy-side, the sell-side, and the supporting community of technology vendors and service providers - should consider in order to, not just survive, but to thrive in this dynamic and ever-changing environment.
More Forecast articles
Focus on the future
With renewables accounting for a significant and growing proportion of Europe's electricity production, energy traders are increasingly turning to different sources of data to help them gauge the im...
Black and Litterman recommend that portfolio optimization start with a reference portfolio (eg, a performance benchmark) and inferring the returns forecast that makes this portfolio optimal. Personal views...
Hanging in the balance
Hank Prybylski of Ernst & Young LLP discusses how firms are effectively dealing with risk management during a time of intense focus on financial regulatory reform.
Global financial services risk management leader Prybylski discusses forecasting, risk appetite, and Basel III
Oil hedging strategies revised after Irish bail-out
This whitepaper reviews the fundamental changes of Liquidity Risk Management under Basel III. It discusses how institutions can meet the regulatory requirements on liquidity risk management by enhancing their liquidity risk analytics, funds transfer pricing methodologies, liquidity stress testing frameworks, and enterprise risk management platforms.