What key factors were responsible for the Fund’s performance during the six-month reporting period?
While the Fund posted double-digit absolute gains, it underperformed the First Trust Index on a relative basis. Both selection of equity closed-end funds and allocation decisions overall detracted from the Fund’s relative performance. Also, having a cash position, albeit modest, during a semi-annual period when the First Trust Index rallied, hurt. Further, the Fund does not allocate to non-equity closed-end funds, and, as mentioned earlier, mixed allocation closed-end funds and fixed income closed-end funds, to which the First Trust Index has exposure, outperformed equity closed-end funds during the semi-annual period. Thus, having no exposure to these non-equity closed-end funds dampened the Fund’s relative results.
Did the Fund’s proprietary model favor certain types of equity closed-end funds during the reporting period?
The Fund’s proprietary model favored energy MLP, global (world stock and world allocation) and large cap (large cap blend and large cap growth) closed-end funds during the semi-annual period. The Value Line quantitative model ranks its universe of equity closed-end funds based on a number of proprietary factors, including both technical and valuation-driven criteria. Discounts to NAV relative to a closed-end fund’s one-year average discount to NAV play an important role in the model’s quantitative selection process.
Did qualitative allocation decisions help or hurt the Fund’s performance during the reporting period?
Qualitative allocation decisions overall hurt the Fund’s performance relative to the First Trust Index, primarily due to the Fund’s allocation to cash during a time when the First Trust Index rallied and to the Fund’s allocation to an equity exchange-traded fund, iShares Nasdaq Biotechnology ETF (IBB), that underperformed the First Trust Index during the semi-annual period. Also, the Fund owned Boulder Growth & Income Fund (BIF), which was not a component of the Value Line quantitative model and which significantly underperformed the First Trust Index during the period it was held in the Fund, thus detracting.
On the positive side, the Fund benefited from owning Liberty All-Star Equity Fund (USA) and General American Investors (GAM). These closed-end funds were not components of the Value Line quantitative model and outperformed the First Trust Index during the semi-annual period, thus adding value to the Fund’s relative performance.
What were the Fund’s strongest-contributing market sectors (as delineated by Morningstar categories) on a relative basis when looking through at its underlying holdings compared to the First Trust Index? Which detracted most?
Among equity closed-end funds, the Fund benefited most during the semi-annual period from selections amongst global closed-end funds (world allocation and world stock), from an overweighted allocation to world allocation closed-end funds and from equal-weighted allocations and selections amongst large cap growth closed-end funds. Further, the Fund’s relative results benefited from having no allocation to commodity closed-end funds, which, as mentioned earlier, lagged equity closed-end funds and the First Trust Index overall during the semi-annual period.
Conversely, the Fund was hurt most by allocation positioning to utilities closed-end funds, India closed-end funds and large cap value closed-end funds. Selections among large cap value closed-end funds detracted as well. Further, as mentioned earlier, the Fund’s relative results were dampened by having no allocations to mixed allocation closed-end funds and fixed income closed-end funds, which gained more than equity closed-end funds during the semi-annual period.
Which equity market sectors (as delineated by GICS sectors) most significantly affected Fund performance when looking at the underlying closed-end funds?
Via underlying closed-end funds, positioning in the industrials, financials and health care sectors detracted most from the Fund’s relative performance. Both allocation and selection decisions within industrials and financials hurt. Within health care, having an overweight to the weakly performing sector diminished returns, more than offsetting the positive contribution of effective selection decisions within the sector. Contributing positively, though modestly, to relative results was the Fund’s positioning in the information technology sector.
Which underlying funds contributed most to the Fund’s relative results?
The closed-end funds that made the most positive contribution to the Fund’s return during the semi-annual period were positions in Eaton Vance Tax-Advantaged Global Dividend Opportunities Fund, Kayne Anderson Midstream/Energy Fund and Eaton Vance Risk-Managed Diversified Equity Income Fund.