Triple-digit stock prices can limit the amount of exposure an investor would like when constructing a well-rounded portfolio. However, with exchange traded funds, investors can take on a basket of expensive, yet favorably positioned large-cap companies.
There are a number of ETFs that include triple-digit stock components. Benzinga’s ETF Professor at Minyanville lists out five such ETFs that provide exposure to well-known large-cap stocks at a reasonable price:
- SPDR Technology Select Sector Fund ETF (NYSEArca: XLK) . The fund’s top holding is Apple (NasdaqGS: AAPL - News) at 17.8%, but it also holds International Business Machines (NYSE: IBM - News) at 8.22% and Google (NasdaqGS: GOOG - News) at 5.3%. [Technology ETFs with Big Positions in Apple]
- SPDR Financial Select Sector Fund ETF (NYSEArca: XLF) . XLF includes top financial names like Goldman Sachs (NYSE: GS - News) and Simon Property Group (NYSE: SPG - News) in its top ten holdings. BlackRock (NYSE: BLK - News) also makes up about 1% of the fund. [Financial Sector ETFs See Bullish Technical Sign]
- Global X China Energy ETF (NYSEArca: CHIE) . This energy fund tracks China’s energy producers, including the country’s three largest oil companies, PetroChina (NYSE: PTR - News), Sinopec (NYSE: SNP - News) and Cnooc (NYSE: CEO - News). These three companies make up almost a third of CHIE’s overall portfolio.
- iShares S&P 500 Growth Index Fund ETF (NYSEArca: IVW) . The ETF offers exposure to over 30 companies that are trading in the triple-digit range, along with a handful of other securities that could trade in the low $100s on a good day.
- First Trust ISE Cloud Computing Index Fund ETF (NYSEArca: SKYY) . SKYY tracks companies that are involved in the relatively new cloud computing tech industry. The fund holds nine triple-digit stocks, including familiar names like Netflix (NasdaqGS: NFLX - News), Equinix (NasdaqGS: EQIX - News), Apple, Google and Amazon (NasdaqGS: AMZN - News).
For more information on the U.S. stock market, visit our S&P 500 category.
Max Chen contributed to this article.