Take this course to advance your career and become a better investor:
http://valuationmasterclass.com/ My name is Andrew Stotz and I've been valuing companies for decades. When I was Head of Research at CLSA, I was voted the No. 1 Analyst in Thailand two years in a row.
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Mistake # 5 Forecasting drastic changes in cash conversion cycle
In this video, I am
* Talking about underestimating expenses, causing unrealistic profit as one of the most common valuation mistakes.
* Analyzing and forecasting 17 000 companies around the world over a 15-year period.
* Defining the value of the gross profit margin in forecasting.
* Providing real examples based on his own coffee business, CoffeeWORKS, and the IKEA, etc.
* Giving other sound advice, including the idea from the fantastic book: Understanding Michael Porter. The idea is that to forecast changes in gross profit margin, an analyst should study the supply chain.
* Looking at some common valuation mistakes in the academic-style research. ABC analysis and valuation.
* Evaluating the accuracy of net profit and net profit margin forecast analysts in Asia, based on the result of 540 the largest companies in Asia.
* Presenting expenses with the highest variability in the net profit margin.
And, most important, curb your optimism in the area of forecasting. Stay optimistic in life.
Want to know more about common valuation mistakes. Follow the links below:
# 1 Overly-optimistic revenue forecasts
https://youtu.be/9jkfAPcDomY# 2 Underestimating expenses causing unrealistic profit
https://youtu.be/fP27UEbPYi8# 3 Growing fixed assets slower than revenue
https://youtu.be/3dSsE13DhJ4# 4 Confusing growth with maintenance Capex
https://youtu.be/QH4QJQedupE # 5 Forecasting drastic changes in cash conversion cycle
https://youtu.be/fBcuoCPN43k# 6 Underestimating working capital investment
https://youtu.be/W3bSlMQac2cFind me here:
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https://instagram.com/andstotzAbout the Site π
This site provides links to random videos hosted at YouTube, with the emphasis on random. π₯
Origins of the Idea π±
The original idea for this site stemmed from the need to benchmark the popularity of a video against the general population of YouTube videos. π§
Challenges Faced π€
Obtaining a large sample of videos was crucial for accurate ranking, but YouTube lacks a direct method to gather random video IDs.
Even searching for random strings on YouTube doesn't yield truly random results, complicating the process further. π
Creating Truly Random Links π οΈ
The YouTube API offers additional functions enabling the discovery of more random videos. Through inventive techniques and a touch of space-time manipulation, we've achieved a process yielding nearly 100% random links to YouTube videos.
About YouTube πΊ
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Content and Users π΅
Users can upload, view, rate, share, and comment on videos, with content spanning video clips, music videos, live streams, and more.
While most content is uploaded by individuals, media corporations like CBS and the BBC also contribute. Unregistered users can watch videos, while registered users enjoy additional privileges such as uploading unlimited videos and adding comments.
Monetization and Impact π€
YouTube and creators earn revenue through Google AdSense, with most videos free to view. Premium channels and subscription services like YouTube Music and YouTube Premium offer ad-free streaming.
As of February 2017, over 400 hours of content were uploaded to YouTube every minute, with the site ranking as the second-most popular globally. By May 2019, this figure exceeded 500 hours per minute. π
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