Building Thirty-four Ticker Historical Price Datasets with Excel’s STOCKHISTORY and Sheets’ GOOGLEFINANCE Functions A prior post in this blog reported model results that showed three of four leveraged single-stock ETFs outperformed their underlying security counterparts. A reader of the prior post asked a very important question: does the outperformance apply to more than just three of four ticker pairs? The reader wanted the model results replicated for a larger set of tickers than just four pairs. Providing more results for more tickers depends on the easy availability of historical ticker prices for financial instruments, such as single-stock ETFs and their underlying tickers. To provide more empirical evidence about any trading strategy, self-directed traders and non-institutional analysts require easy ways to compile historical prices for custom sets of financial instruments. This post offers self-directed traders and non-institutional analysts step-by-step ...
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A Model to Lock-in Gains When Trading Single-stock ETFs A prior post titled “ What are Single-stock ETFs and Should I Invest in Them? ” introduced readers of this blog to leveraged single-stock ETFs. The focus of the prior post was leveraged ETFs that return up to two times the daily return of their underlying tickers. This ratio of a two-to-one daily return for a single-stock ETF applies to both increases and decreases in the underlying stock. Single‑stock ETFs are most commonly offered for tickers that experience high trading volume, strong retail interest, and episodes of fast‑paced price growth. This practice entices traders/investors to buy single-stock ETFs, even though there is the risk of losing twice as much on a single trading day as with the underlying security. In addition, there are other considerations that can negatively impact the prices of single-stock ETFs, such as daily rebalancing costs and volatility drag. Rebalancing costs are primarily for ...