| Gallagher (Arthur J.) is a holding company. Through its subsidiaries, Co. provides insurance brokerage, consulting, and third party claims settlement and administration services to both domestic and international entities. Co.'s segments are: brokerage, which is primarily comprised of its retail and wholesale insurance brokerage operations; risk management, which provides contract claim settlement and administration services for enterprises and public entities that choose to self-insure their property/casualty coverages and for underwriting enterprises that choose to outsource their property/casualty claims departments; and corporate, which manages its clean energy and other investments. |
When researching a stock like Arthur J. Gallagher, many investors are the most familiar with Fundamental Analysis — looking at a company's balance sheet, earnings, revenues, and what's happening in that company's underlying business. Investors who use Fundamental Analysis to identify good stocks to buy or sell can also benefit from AJG Technical Analysis to help find a good entry or exit point. Technical Analysis is blind to the fundamentals and looks only at the trading data for AJG stock — the real life supply and demand for the stock over time — and examines that data in different ways. One of those ways is to calculate a Simpe Moving Average ("SMA") by looking back a certain number of days. One of the most popular "longer look-backs" is the AJG 200 day moving average ("AJG 200 DMA"), while one of the most popular "shorter look-backs" is the AJG 50 day moving average ("AJG 50 DMA"). A chart showing both of these popular moving averages is shown on this page for Arthur J. Gallagher. Comparing two moving averages against each other can be a useful visualization tool: by calculating the difference between the AJG 200 DMA and the AJG 50 DMA, we get a moving average convergence divergence indicator ("AJG MACD"). The AJG MACD chart, in conjunction with the chart of the moving averages, basically helps in visualizing how the moving averages are showing convergence (moving closer together), or divergence (moving farther apart).