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High-growth stock fund

As explained in Build a Robo-Advisor with Python (From Scratch)

A high-growth stock fund is an investment fund focused on stocks associated with expectations of comparatively high future growth.

A high-growth stock fund holds stocks selected for comparatively high expected future growth. Its tax efficiency depends not only on returns and distributions, but also on investor tax rates and portfolio turnover. section 8.2

Table 8.3 Typical attributes of various assets
Type of asset Average return Payout rate Tax rate payout Turnover rate
Large-cap stocks 8% 1.5% 0.2 0
High-growth stocks 9.5% 1.5% 0.2 0
International stocks 8% 1.5% 0.25 0
REITs 8% 4.5% 0.35 0
Money market fund 3% 3% 0.35 0
Government bonds 4% 4% 0.35 0
High-yield bonds 7.5% 5.5% 0.35 0
Municipal bonds 2.5% 2% 0 0
Large-cap,high-turnover stocks 8% 1.5% 0.2 0.2
High-growth,high-turnover stocks 9.5% 1.5% 0.2 0.2

Compare the fund with other assets using assumed average return, payout rate, payout tax rate, and turnover. section 8.2

Evaluate the fund’s tax-location trade-offs:

  • With a 1.5% payout and no turnover, the fund is modeled like large-cap stocks but with a 1.5-percentage-point higher average return; this makes it significantly more tax-efficient in the comparison. section 8.2
  • Adding 20% turnover reverses the result: the fund moves from the most tax-efficient asset to the most tax-inefficient asset. section 8.2
  • A small 4% turnover rate can place the fund near the middle of the tax-efficiency range, as higher returns and favorable capital-gains taxation offset the tax cost of turnover. section 8.3.1

Three accounts, three assets

Suppose an investor has $1.5 million divided equally among an IRA, a taxable account, and a Roth, and wants equal $500,000 allocations to large-cap stocks, high-yield bonds, and a high-growth stock fund with 4% turnover. Comparing all six assignments identifies the high-growth fund as the best Roth placement in this case, because its higher returns and low capital-gains rate are balanced by turnover-related tax inefficiency. section 8.3.1

How Build a Robo-Advisor with Python (From Scratch) covers it

How deep it goes
Quantifies return, payout, tax-rate, and turnover assumptions, then tests account assignments; broader optimization follows the three-asset example.
Examples
Uses large-cap stocks, high-yield bonds, three equal accounts, 4% turnover, and six possible asset-account permutations.
What it assumes
Assumes familiarity with taxable, IRA, and Roth accounts, while demonstrating allocation logic through a fully specified three-account example.
What you can do after
Apply it via tax-efficiency comparisons to choose account locations while recognizing turnover and tax-rate trade-offs.
How it connects
Connects expected returns, turnover, tax efficiency, capital-gains taxes, asset location, taxable accounts, IRAs, and Roth accounts.

This explainer was generated by Manning's knowledge graph from the text of Build a Robo-Advisor with Python (From Scratch). The section links point to the parts of the book it draws on.