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Honestly, people would be a lot more terrified of AI replacing manual coding jobs if they realized how few people know COBOL (or C, SQL, Lisp, or even FORTRAN) well anymore... And just how many critical systems run on those languages. To be clear, AI can absolutely write code in them... but that's almost totally useless if the devs using the AI-generated code don't know the language themselves, because they won't be able to troubleshoot anything that goes wrong or doesn't function. One of my undergrad Geography professors actually ended up at WTW both doing climate risk analysis, but also working as a developer because most programmers experienced with these languages now come from natural science backgrounds - because all of our analytical tools are written and executed in them still. Just as a fun IBM fact, basically all of the array functionality of most programming languages is still basically translated from the monster of a language that is APL. If IBM goes away, we basically lose all technical support for one of the most critical and powerful programming languages on the planet. Even if AI is capable of writing in a non-ASCII compliant language, AI code is already known as "write only". It would be a true nightmare to have "write only" code written in a "write only" language, you might as well put it though an Enigma cypher at that point. You'd be blindly executing code with no idea what it would do *at all*.
From knowing one of WTW’s climate risk analysts (used to be a professor in forestry and climate dynamics) and having used Insurify myself; It does a terrible job interpreting actual underwriting. The *only* thing it looks at is premiums, which means using it results pretty repeatedly in purchasing the absolute worst coverage out there. Insurance (especially casualty insurance) really is a product that price = quality. Higher premiums typically mean you are a higher risk for whatever reason. If not, they then typically include more coverage. Lower premiums (where higher also exist) don’t necessarily mean you aren’t, but more likely mean that the underwriter won’t pay out most claims. It could also mean you will be charged a much higher deductible for making a claim. In general, you should *always, and **carefully*** read the statement of coverage, premiums, and deductibles *yourself* before choosing insurance coverage. More often than not, the cheapest option isn’t the best.
Insurance brokers are getting crushed today after OpenAI approved the first insurer-built AI app on ChatGPT - $WTW, $AJG, $RYAN, $BRO, $AON
As a geographer: Options are risky enough. You *do not* want to try basing trades on weather, which is fundamentally one of the most volatile and unpredictable forces of nature. One of my professors does this type of stuff for WTW - with a PhD in atmospheric science and climate dynamics. Basically, you need to hire a paleoclimatology expert (which is what he did prior to getting hired by WTW), because climate forecasts are only as good as your hindcast data is. Most meteorologists and meteorological models are limited to 2-4 *days* of accurate forecasts. Paleoclimate indicators with >400-600 years of back data tend to be the most accurate for seasonal forecasts and provide the tightest confidence intervals. Problem is; they’re expensive AF. The last grant I worked on doing this type of work with tree-ring proxy models cost around $1.2-$1.5M/yr, and that was only for 3 people working on it. But if just interested in what “good” looks like, we tend to not even bother with models that aren’t at least 95-95.5% accurate. Quite frankly, those of us with expertise in the climate prediction side of things tend to have to dumb things down *a lot* for investors. You can pay economists or professional traders, but at best, you could expect them to be 25-45% accurate, with less than 10% precision. TLDR; the price for someone actually good at this stuff is in the neighborhood of $1M/year. You’re looking for someone with a PhD in climate or atmospheric sciences and paying to take them away from what they love doing (teaching and research).
The Pharmacy Benefit Managers (PBM's) are the problem. They collectively made $573 billion in 2024. Their brokers, who are a fiduciary to the PBMs and not employers, take an 8% to 12% spread on top of that. So, roughly $625 billion in 3rd party profiteering on our pharma spend. PBM's: United Health, Aetna, Carrmark, Optum, Expree Scripts, Prime. Brokers: Marsh McClellan, AON, Gallagher, Willis, WTW etc.
I think you're making this a bit complicated. RO**E** is not something most of us are concerned with: [https://www.investopedia.com/terms/r/returnonequity.asp](https://www.investopedia.com/terms/r/returnonequity.asp) It's not possible to see a quote for RO**I**, return on investment, since that's a personal statistic for each investor, because we all buy in at different times. Price quotes for a stock are either in real time during market hours, or for an arbitrary date in the past, even specific times during a particular day. The share price of WTW is up 34.4% year to date. Its current dividend is $0.88 per share paid quarterly in Jan, Apr, Jul, Oct. At the current stock price of $322.57, that comes out to 1.1% dividend yield. So the ROI for someone who invested at the beginning of the year would be about 35.5% (I'm ignoring the compounding of dividend reinvestment which would goose that percentage just a bit). Average annual return, or CAGR - compound annual growth rate - is another calculation. This annualizes the ROI percentage between any two arbitrary dates.
We have the data to show that what youve said is incorrect. Its right in terms of risk, in a crash, small caps theoretically should be hurt more than large under the CAPM model, but the nunbers you used are crazy wrong. For example, the drawdown during the GFC, VOO dropped 55%. IWM dropped 59% peak to trough. Heres the backtest. https://testfol.io/?d=eJytjzFLBEEMhf9L6inWxmJqEa4QDizkkGPJ7WTW0VzmLhP3kGX%2Fu9EVFAsrU%2BXxwntfZhi5HpC3qHhsEGdohmp9QiOIAAFI0g%2B1uhMyxKvOJwCm575IZrRSBWJGbhRgwPaUuV4gdt%2Biz0pnz9kRKr95mlbmImN%2FKZI%2Bbq%2B7JcCpquXKpTrO4wyCx6%2FuIhM1uylTSQ7lrumrVyk5P8pAt7%2FSrQwvpGvKuru7ebhz60Q6kNjnE8s%2BQFIcHXUJ%2F953v9390bdf3gEeeYEA The only time the scale of your numbers would have been accurate is a case like 2015 recession where spy just kind of froze while small caps and especially industrials dropped a lot. Go to the max drawdown graph, you can see the blue (IWM) just tips down a bit more than SPY basically every time.
Willis Towers Watson WTW, Prudential Financial PRU, Assurant Inc. AIZ, and American Financial Group, Inc.
MMC, AON, WTW those are the best
WTW might be a good play for a correction. Picking up some calls at the bottom now
WTW on appl...Thinking that tech this Q is j fucked 
Look into XYL if you're interested. Their 10 year total return CAGR is 15.9% and their 10 year dividend per share CAGR is 27.2%. Not a massive company at \~$16.7B. Jumping on a meeting now so instead of typing what they do, I'm pasting the below from Yahoo Finance. Xylem Inc., together with its subsidiaries, engages in the design, manufacture, and servicing of engineered products and solutions for the water and wastewater applications in the United States, Europe, the Asia Pacific, and internationally. It operates through three segments: Water Infrastructure, Applied Water, and Measurement & Control Solutions. The Water Infrastructure segment offers various products, including water, storm water, and wastewater pumps; controls and systems; filtration, disinfection, and biological treatment equipment; and mobile dewatering equipment under the Flygt, Godwin, Wedeco, Sanitaire, Leopold, Wedeco, and Xylem Vue brand names for the transportation and treatment of water. The Applied Water segment provides pumps, valves, heat exchangers, controls, and dispensing equipment systems under the Goulds Water Technology, Bell & Gossett, A-C Fire Pump, Standard Xchange, Lowara, Jabsco, Xylem Vue and Flojet brand names for residential and commercial building services, and industrial water applications. The Measurement & Control Solutions segment provides smart meters, networked communication devices, and measurement and control technologies, as well as critical infrastructure technologies. It also offers software and services, including cloud-based analytics, remote monitoring and data management, leak detection, condition assessment, asset management, and pressure monitoring solutions, as well as testing equipment and managed services. This segment sells its products under the Pure, Sensus, Smith Blair, WTW, Xylem Vue, and YSI brand names. The company markets and sells its products through a network of direct sales force, resellers, distributors, and value-added solution providers. Xylem Inc. was formerly known as ITT WCO, Inc. and changed its name to Xylem Inc. in May 2011. The company. was incorporated in 2011 and is headquartered in Rye Brook, New York.
Who calls the margin on WTW and will they really “call” it or do the 2008 thing and just bail it out
Yeah and it’s fairly diversified. People think of Fidelity and they think Employer Retirement Plans, Funds and Trading. They are full service and they are also ADP/Alight/AON/WTW/Ghallager. They don’t own those companies, but they provide the same type of services and tech. They also have decent market shares in those areas. Former employee here. It’s a small thing but they have paid 10% profit sharing forever to all employees on top of variable comp. Never missed, never reduced, many times it’s been more. Bonuses never missed due to company performance.
WTW on Roblox Report? Calls or puts?
I'm not too keen on insurance companies. They have to pay claims and there's heavy regulation by the Gov and it's a slow growth industry. However, I would suggest you look at insurance brokers instead. They connect customers with insurers and pocket the fee but are not liable for any payouts. Buffet is a long time owner of MMC which is a great one some others are AON, AJG, WTW and BRO.
> The total WTW efficiency of gasoline ICEV ranges between 11-27 %, diesel ICEV ranges from 25 % to 37 % and CNGV ranges from 12 % to 22 %. The EV fed by a natural gas power plant shows the highest WTW efficiency which ranges from 13 % to 31 %. https://ui.adsabs.harvard.edu/abs/2020SJRUE..24..669A/abstract
Uber Puts Like WTW????
$WKHS is one to watch. Big showing at WTW22 this week
So that would be from the retail side (for vanguard/schwab/whatever broker). From the institutional side, most (id guess well over 90%, dunno exact figure) pension, endowment, insurance, soveriegn benchmark against an MSCI EME or FTSE's EME equivalent, based on my experience most use MSCI. active EME strategy which is what most large instutional investors would go for. Portfolio managers, in addition stock selection they would normally do, are also responsible under/overweights on the country and industry within country level. Going back in my emails the most recent report i have regarding the MSCI EME index has Russia at a 3.8% weighting in this index. WTW year end 2020 survey has top 300 pension funds at 21.7 Trillion USD. The weighted average allocation to equities is 46.6%, i.e. 10.1 Trillion USD. Here is where we need some more assumptions. Based on the "leaders" in pensions and endowments (Calpers, CPPIB, Yale, Harvard, Etc.) and the many annual reports ive scrolled through in my career, conservativley, about 15-20% of total public equities investments are usually allocated to EME investments. So 15% is 1.5 Trillion in EME and about 45 billion in investments into the russian stock market by top pension funds based on 3.8% allocation that is looking to exit I would necissarily say this is an overestimate, and the actually number is prolly around the 30 Billion USD range (pre moscow crash obviously) . This is for a few reasons, Japan GPF only invests in Japan and US treasuires and a miniscule amount in other assets. Many other pension funds have customized benchmarks, etc. So thats about 1/8 of the current market cap of the MOEX index that would have to be divested. I don't subscribe to russian indexes on my bloomberg terminal so i cant get more detail beyond that.