Pure Bond Indexing Strategy

It is a passive strategy, which tries to follows the weight age of index on a day to day basis. It is usually taken up with the idea of not underperforming the index, without actively handling the same aggressively. This is a follow-up strategy, with the least risk of underperforming the index. A pure bond index strategy may match that of some index that the investor may have chosen as a benchmark. But it may be remembered the same index itself may not necessarily be the one to offer optimal performance.

Typically, the advantages of applying pure bond strategy to manage bonds are that it carries very little or no tracking error compared to the index it follows. Also, the advisory and administrative fee is low and varies from 1 basis point to 20 basis points. The risk exposure remains contained at the level as the index.

However, the disadvantage of pure indexing strategy is that is logistically difficult to implement due to frequent change in strategies demanded. It may prove costly due to regular re-shuffle. It may also offer lesser returns than the index. Total returns depend on the reinvestment rate available on interim cash flows.

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Data Science in Finance: 9-Book Bundle

Data Science in Finance Book Bundle

Master R and Python for financial data science with our comprehensive bundle of 9 ebooks.

What's Included:

  • Getting Started with R
  • R Programming for Data Science
  • Data Visualization with R
  • Financial Time Series Analysis with R
  • Quantitative Trading Strategies with R
  • Derivatives with R
  • Credit Risk Modelling With R
  • Python for Data Science
  • Machine Learning in Finance using Python

Each book comes with PDFs, detailed explanations, step-by-step instructions, data files, and complete downloadable R code for all examples.