Hedge Fund Index Rules and Construction
A Hedge Fund Index is very useful for tracking the performance of hedge fund investments, especially the timing of fund redemption. This paper presents a methodology for constructing a hedge fund index that is more like a quantitative fund of fund, rather than a weighted sum of a number of early replicable market indices, which are re-balanced periodically. The constructed index allows hedge funds to directly hedge their exposures to index-linked products. That is important given that hedge funds are an asset class with reduced transparency, and the returns are traditionally difficult to replicate using liquid instruments.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
On the Efficacy of Shorting Corporate Bonds as a Tail Risk Hedging Solution
United States (US) IG bonds typically trade at modest spreads over US Treasuries, reflecting the credit risk tied to a corporation's default potential. During market crises, IG spreads often widen and liquidity tends to …
PolyModel for Hedge Funds' Portfolio Construction Using Machine Learning
The domain of hedge fund investments is undergoing significant transformation, influenced by the rapid expansion of data availability and the advancement of analytical technologies. This study explores the enhancement of…
feature selectionPortfolio OptimizationHedge Fund Portfolio Construction Using PolyModel Theory and iTransformer
When constructing portfolios, a key problem is that a lot of financial time series data are sparse, making it challenging to apply machine learning methods. Polymodel theory can solve this issue and demonstrate superiori…
Time SeriesTime Series ForecastingUsing Hedge Detection to Improve Committed Belief Tagging
We describe a novel method for identifying hedge terms using a set of manually constructed rules. We present experiments adding hedge features to a committed belief system to improve classification. We compare performanc…
General ClassificationSentence ClassificationFinancial Hedging and Risk Compression, A journey from linear regression to neural network
Finding the hedge ratios for a portfolio and risk compression is the same mathematical problem. Traditionally, regression is used for this purpose. However, regression has its own limitations. For example, in a regressio…
regression