  We consider in detail an investment strategy, titled "The Bounce Basket",
designed for someone to express a bullish view on the market by allowing them
to take long positions on securities that would benefit the most from a rally
in the markets. We demonstrate the use of quantitative metrics and large
amounts of historical data towards decision making goals. This investment
concept combines macroeconomic views with characteristics of individual
securities to beat the market returns. The central idea of this theme is to
identity securities from a regional perspective that are heavily shorted and
yet are fundamentally sound with at least a minimum buy rating from a consensus
of stock analysts covering the securities. We discuss the components of
creating such a strategy including the mechanics of constructing the portfolio.
Using simulations, in which securities lending data is modeled as geometric
brownian motions, we provide a few flavors of creating a ranking of securities
to identity the ones that are heavily shorted.
  An investment strategy of this kind will be ideal in market scenarios when a
downturn happens due to unexpected extreme events and the markets are
anticipated to bounce back thereafter. This situation is especially applicable
to incidents being observed, and relevant proceedings, during the Coronavirus
pandemic in 2020-2021. This strategy is one particular way to overcome a
potential behavioral bias related to investing, which we term the "rebound
effect".
