Hi everyone,
My portfolio is pretty simple at this point:
85% VGVF - Vanguard FTSE Developed World
15% VFEA - Vanguard FTSE Emerging Markets
I would like to add an S&P500 index ETF, but I haven't decided on the percentage. I would appreciate your feedback.
This is a 5 to 10 year investment at least.
Thank you in advance.
I put 100$ into VOO today. My question going forward is how many ETFS/index funds should a portfolio have (percentage of portfolio wise)? I’m 24 years old and kind of want to take risks too but I just couldn’t pass up VOO.
I decided at the beginning of the week to change my "BCS Top 25 Opponent's Record vs. FBS" chart into an RPI calculation. It took the entire week, and my sanity regrets doing it, but here are the rankings of the top 26 teams (BCS top 25 plus Ohio State):
- Notre Dame - .708
- Florida - .684
- Alabama - .683
- Kansas State - .675
- Oregon - .653
- Nebraska - .653
- Texas A&M - .639
- Oklahoma - .635
- Oregon State - .634
- LSU - .623
- Ohio State - .621
- South Carolina - .609
- Texas Tech - .606
- Georgia - .605
- Stanford - .605
- Texas - .605
- Florida State - .604
- Clemson - .599
- UCLA - .581
- Mississippi State - .566
- Northwestern - .566
- Louisville - .561
- Toledo - .559
- Rutgers - .544
- USC - .535
- Louisiana Tech - .508
Obviously, it's flawed, as are most RPI rankings, but it's interesting to get an idea of what an RPI-style ranking would look like if they used it for college football. It's good to know that the BCS isn't the worst choice.
See? I can do this too. It's moronic to project one QB's stat line to another. Shall I do Danny Kanell and Kent Graham as well?
Just because Eli was able to grow into a better QB has absolutely NO BEARING on Daniel Jones whatsoever.
https://www.pro-football-reference.com/players/B/BrowDa00.htm
Hi all.
I have been going to the gym consistently for 3 months. I do mostly HIIT exercises. I have been managing my diet the best I can.
Today I got my fat percentage and I was shocked at how high it is. It's about 25.9%
I'm 28 years old.
168 cm and 68.9 Kg.
My body mass index is 24.4 kg/m.
What's the best and most effective way to lose fat without losing muscle mass.
People have posed this question multiple times, but no one seems to have taken the time to answer it. I'd appreciate it if someone could do me a solid and do so.
I pared down single stock ownership in my retirement accounts these recent years. Easier and more sleep at night to own things like FXAIX and VTI. Does it seem like this market is rewarding individual stock pickers over broad index buyers? Is it tempting to buy the individual tech stocks? I guess we are in earnings period now and I hear about the semiconductors among other tech stocks just going up. It gets to be a fear of missing out thing at some points for me.
To clarify, this is for customer service, not for product reviews. Like the short survey at the end of a call to the bank or something like that.
In customer service, pay is often directly linked to these reviews. I work for Tutor.com on the side and five-star reviews directly impact my pay, and it is the same at many (if not most) companies.
Cody’s shooting from 3 this year has been insanely good. He’s currently 3.7% above Glen Rice’s 1996-97 percentage (which is the Hornets’ best mark for a season).
Martin currently has what would be the third best true shooting percentage for a season in franchise history (62.3%). He’s only 0.2% behind the current leader. Who’s that? Miles Bridges (2020-21 season).
Martin’s offensive rating is 129.5, 8.7 points higher than Cody Zeller’s 120.8 in 2016-17. This is more of a “take it with a grain of salt” stat, but I think it’s interesting to put Cody’s scoring this year in perspective.
I'm looking for the simplest way to count the sum of all numbers in a row that belong to a certain percentage range.
For example:
Cells A1 - K1 have various percentages (A1 = 55%, B1 = 60%, C1 = 70% ... etc.) ... and the cells BELOW them A2, B2, C2 have numbers ranging from 1 - 10 *(A2 = 5, B2 = 3, C2 = 4... etc.).
I'm looking for the simplest way to count the total sum of numbers in row 2, based on a prescribed range in row 1.
Example:
Find the sum of all numbers between 50% - 60%.
##Intro
Hello everyone,
We obviously have a lot of stats at our disposal for evaluating QBs; certainly more stats than we have at any other position. From the surface, bare-bones stuff (yards, TDs, INTs, sacks) to the deeper and more analytical stuff (DVOA, EPA/play), we can look at a lot of different elements of QB performance to paint a pretty good picture of how effective they were.
I'm keeping it closer to surface-level here, but I want to talk about a stat that rarely ever gets brought up, despite how intuitive and simple it is: first down percentage. Passing yards are a highly popular QB stat (mostly because of the simplicity) but little is done to look into how much the QB was making those yards count. If you're accumulating yards but still failing to move the ball down the field consistently, then you're not doing your job well, but the surface numbers can disagree. First down percentage endeavors to answer the question of how well a QB moves the chains, a hugely important part of a QB's job. The formula is simple:
Passing first downs / (pass attempts + sacks)
In essence, it is the percentage of non-scramble dropbacks that result in first downs.
First downs have been tracked as an individual stat since 1991, and we'll talk further about my sources for the stat below. The important thing to know is that we have 30 years of data to look at, which, while not amazing, is pretty good.
Right up front and before we delve too deep into this, I want to first address some of the downsides to first down percentage. No stat is perfect, and first down percentage certainly is not an exception to that rule.
##Pitfalls
The pitfalls of first down percentage are really simple. First, this stat does not account for the fact that some plays that don't result in first downs can be successful. For instance, a 7 yard completion on 1st and 10 is a successful play. Any coach would happily take being set up with a 2nd and 3 situation 99.9% of the time. But first down percentage does not care.
The other main pitfall here is that first down percentage weighs all non-first down plays equally. Sacks, INTs, and fumbles are all worse than incompletions, but none of them are penalized more than incompletions are. QBs who employ more conservative, ball-control styles will not rank too highly in first down percentage as a result, though this can sometimes be just as effective, if not more so, than QBs who like to throw the ball downfield aggressively.
Nevertheless,
... keep reading on reddit ➡
