Neuberger Berman High Yield Strategies Fund (NYSE American: NHS) is a closed-end management investment company overseen by Neuberger Berman Group LLC. The fund’s primary objective is to generate current income and potential capital appreciation by investing predominantly in below-investment-grade corporate debt securities. Leveraging Neuberger Berman’s extensive credit research platform, NHS focuses on identifying undervalued credits and relative-value opportunities across the non-investment-grade spectrum.
The portfolio is broadly diversified across high-yield corporate bonds, senior secured loans, convertible securities and select structured credit instruments. Portfolio managers employ a bottom-up credit analysis approach, scrutinizing issuer fundamentals, capital structures and market sentiment to construct a balanced high-yield exposure. While the bulk of investments are in U.S. high-yield markets, the fund may opportunistically allocate to European and emerging-market high-yield debt when attractive risk-reward profiles emerge.
Since its inception in the mid-2000s, NHS has offered investors access to a dedicated high-yield strategy within a closed-end fund structure. Listed on the NYSE American, the fund utilizes modest leverage to enhance income potential and seeks to deliver consistent monthly distributions to shareholders. Governance is provided by an independent board of directors, with oversight of compliance, risk management and distribution policy.
Headquartered in New York, Neuberger Berman dates back to 1939 and maintains global credit research teams in major financial centers, including London, Hong Kong and Tokyo. The High Yield Strategies Fund benefits from this global presence and from a team of senior portfolio managers and credit analysts who draw on proprietary credit models and on-the-ground insights. Through disciplined risk management and active security selection, NHS aims to serve income-oriented investors seeking diversified exposure to the high-yield debt market.
AI Generated. May Contain Errors.
