1) Let's talk about a key part of the Chinese creator economy. The creator management and incubator agencies known as Multi-Channel Networks (MCN). We''ll summerise key lessons for the western creator economy.

And know how Li Ziqi got her 12m YouTube subscribers

2) MCNs are modern-day talent agencies (but more) who target influencers and creators as their clients. It originated in the US but has proliferated in China, with industry estimates of 5k-7k Chinese MCN operating as of 2020.
3) Typically, as creators gain enough following, they find it difficult to be an-all-in-one content creator, editor, customer support rep, accountant, lawyer, and marketing guru that the job demands.

Enter the MCNs who offers the creator the following:
4) Audience and traffic growth, PR management, monetisation through ads & e-commerce and support with retail fulfillment.

Their services are more holistic than western MCNs, who's offerings are more domain-specific.
5) Agreements between Chinese MCNs and creators can get into guarantees of the number of followers provided, copyrights, subtitling and distribution help, as well as providing analytical feedback on their content.
6) Monetisation methods are also more varied. Whereas the majority of western creators monetise through ads. The majority of Chinese creators monetise through retailing. Opening up a Taobao store or holding livestreaming e-commerce session to do this is the norm.
7) The MCNs will charge a cut of GMV sales from these sales, typically a 30%-70% split with the creators. In most cases the creator is only responsible for the goods' promotion and MCNs would be in charge of production, fulfilment and post-sale support.
8) At this point, you might recognise that MCN are a combination of talent agencies and 3PL and you'd be right. The lines between entertainment and commerce are blurred in China.

More from Lillian Li

More from Economy

1/ Trend Factor: Any Economic Gains from Using Information over Investment Horizons? (Han, Zhou, Zhu)

"A trend factor using multiple time lengths outperforms ST reversal, momentum, and LT reversal, which are based on the three price trends separately."

https://t.co/udkvsdw2Lz


2/ This resembles combining multiple measures of ST reversal, momentum, and LT reversal (forecasts determined by walking forward rather than using signs from the full sample).

Unlike normal moving average signals, these are *cross-sectional.* More below:
https://t.co/wkIFLg9jtK


3/ Unsurprisingly, the Trend factor formed by this approach outperforms benchmarks in terms of both Sharpe ratio and tail metrics. It's combining momentum with two factors that are negatively correlated to it AND using multiple specifications.

More here:
https://t.co/x8Tloz3iyL


4/ "Average return and volatility of the trend factor are both higher in recession periods. However, the Sharpe ratio is virtually the same.

"Interestingly, all of the factors still have positive average returns.

"Momentum experiences the greatest increase in volatility."


5/ "In terms of maximum drawdown and the Calmar ratio, the trend factor performs the best.

"The trend factor is correlated with the short-term reversal factor (35%), long-term reversal factor (14%), and the market (20%) but is virtually uncorrelated with the momentum factor."

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