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What is a discount to NAV?

01 September 2024

A discount to net asset value (NAV) occurs when the market price of shares of a closed-end fund is lower than the fund's net asset value per share. The NAV is calculated by dividing the total value of all the securities in the portfolio, minus any liabilities, by the number of the fund’s shares outstanding. This metric is crucial as it reflects the intrinsic value of each share of the fund. When shares trade on the market for less than this value, they are said to be trading at a discount to NAV. This scenario suggests that investors can purchase shares for less than the per-share value of the underlying assets.

The significance of trading at a discount to NAV is twofold for investors. Firstly, it may indicate a potential investment opportunity, as buying shares at a discount might lead to gains if the market price adjusts closer to the NAV over time. This scenario can provide an attractive entry point for investors who believe that the market has undervalued the fund's assets. Secondly, a persistent discount to NAV can signal underlying issues such as investor scepticism about the fund's management, its investment strategy or sector-specific challenges that may not be immediately apparent from the NAV alone.

However, it's essential for investors to approach discounts to NAV with caution. A discount may persist for extended periods and there's no guarantee that the market price will converge with the NAV. Factors such as market sentiment, changes in interest rates and shifts in the economic landscape can influence the discount or premium to NAV. Moreover, investors should consider other aspects of the fund, including its performance history, management fees and the liquidity of its assets. While a discount to NAV can represent an opportunity, it should be just one of several factors considered in the investment decision-making process.

 

 

This Trustnet Learn article was written with assistance from artificial intelligence (AI). For more information, please visit our AI Statement.

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