This paper investigates the identification, the determinacy and the stability of ad hoc, "quasi-optimal" and optimal policy rules augmented with financial stability indicators (such as asset prices deviations from their fundamental values) and minimizing the volatility of the policy interest...

We employ conformal symmetries to provide a generic tractable framework for interest rate modelling. The approach combines calibration flexibility of market models with tractability and computational efficiency of shot rate models. The methodology enables robust calibration to the whole variety...

In this paper we outline the Lagrangian constrained optimization method to solve complex problems subject to constraints. Firstly we summarize the Lagrangian constrained optimization routine. Secondly we outline a detailed implementation strategy. Thirdly and finally we provide example and solve...

Yield curves are used to imply the forward rates and discount factors from market tradable instruments and are required to discount future cash flows and evaluate the price of all financial contracts. Not all instruments can be included in the yield curve calibration or fitting process, hence we...

We propose a shadow rate no-arbitrage DTSM with drifting trends to estimate the natural rate of interest. With the shadow rate reflecting overall financial market condition (Wu and Zhang (2019)), its long run forecast (in real term), defined as our natural rate, provides a useful measure against...

We use a standard macrofinancial no-arbitrage term structure model to forecast key macroeconomic variables such as GDP. Simple adaptations to the model are proposed in order to generate plausible forecasts in the context of the COVID-19 crisis. The financial market variables included in the...

This paper describes the search for a yield curve model that embodies current research but will be used for product pricing, investment advice and asset liability management over long horizons. A variety of available 3-factor affine models are implemented and tested, often with surprising...

The uncertainty around future changes to the Federal Reserve target rate varies over time. In our results, the main driver of uncertainty is a "path" factor signaling information about future policy actions, which is filtered from federal funds futures data. The uncertainty is highest when it...

Using US data, we estimate optimal policy with a probability below one that the Fed reneges on its commitment ("limited credibility") versus discretionary policy where the Fed reneges on its commitment at all periods with a probability equal to one ("zero credibility"). The transmission...