Quant Insight

The KraneShares KCAI tracks the Qi China Alpha Index. It seeks to outperform the CSI 300 Index by applying a systematic machine learning approach. KCAI’s index was developed by Quant Insight in partnership with KraneShares (Qi) to generate excess returns in China A-Shares through an alpha optimization filtering process combined with proprietary AI technology. China A-Shares are Chinese stocks listed locally on the Shanghai and Shenzhen stock exchanges. Learn more: https://hubs.li/Q02SvRyq0 #china #etfs #machinelearning #ai #stocks #investing #equities

Join us this Thursday 10th October #markets #china #equities #stocks #etfs

📈We pick one headline from our weekly analysis, but you can access more.... 📉Consider also that SPY model price momentum has been fading over the last month. HY credit spreads are little changed while inflation expectations have been rising. 👀 Looking ahead, if the market is increasingly comfortable on the data, we need to look to inflation expectations. This would have an upward impetus on a Trump surge, China stimulus and falling jobless claims. See the chart and read more in-depth coverage from MacroVantage: https://hubs.li/Q02S9gc40

📈 𝐂𝐚𝐧 𝐂𝐡𝐢𝐧𝐚’𝐬 𝐒𝐭𝐢𝐦𝐮𝐥𝐮𝐬 𝐁𝐚𝐳𝐨𝐨𝐤𝐚 𝐊𝐢𝐜𝐤-𝐒𝐭𝐚𝐫𝐭 𝐭𝐡𝐞 𝐄𝐜𝐨𝐧𝐨𝐦𝐲?   In the latest guest blog by Huw Roberts, Head of Analytics at Quant Insight, he delves into whether AUDUSD—commonly viewed as a proxy for #China and #commodities —still holds true. He also sheds light on why relying on simple correlations between the Australian Dollar and copper can be misleading, offering a deeper analysis of the complex factors driving these markets.   Read Huw's full guest blog now: https://lnkd.in/eP7Me972

If you are looking at China as an investment opportunity, consider KraneShares powered by Quant Insight #etfs #investmentmanagement #stocks

Time for a high beta breather 📉Weakness in the dollar combined with recent higher US rates speaks to higher inflation expectations. However, on Tuesday the Conference Board’s measure of US consumer confidence unexpectedly sank from 105.5 in August to 98.7 in September - the bottom of its range over the past two years. 🏦Rates ended that session lower, while equities have so far determined that the data isn’t a problem (NVDA caught a bid). Further, we note the majority of companies remain in the corporate blackout periods for buybacks. That window will only end in a month, as we get even closer to the election. Seasonally, earnings revisions also start to slow down as we approach the end of the full year, with lack of guidance as yet on next year. ❓What does Qi say: SPY is +0.6 sigma above Qi model fair value; IWM +0.9 sigma and Dow +0.8 sigma. SPHB (the S&P500 high beta ETF) is +1.8 sigma on the ST model and +1.3 sigma on the LT model! Further, the size of the S&P 500’s sensitivities to financial condition factors i.e. credit spreads, real dates, dollar etc. is diminishing – a sign, markets are less afraid of macro vol shaking them off course. 🐃So would we be bullish here? No, Qi would say US risk is showing some signs of ST complacency and due a breather. Read more MacroVantage analysis 👇 #hedgefunds #equities #investmentmanagment https://hubs.li/Q02Rcg_l0

We just had a huge move higher in Chinese equities > + 4% "The Chinese central bank will create new monetary policy tools to support the stable development of the stock market, the central bank governor said Tuesday." 😲 After years of lacklustre performance is the #China stock market now back ? The KCAIQI index adds alpha to Chinese equities and has shown 1.66% outperformance in less than a month. See #kraneshares for more info

🥊 Rule 1 of Fight Club 🥊 To make money, you need to understand what's currently driving your security. A case study... Macro factors explain over half of the rally to new ATHs in J.P. Morgan over August. Quant Insight's new Macro Factor Equity Risk Model can decompose asset returns between macro & idiosyncratic drivers. From the 5th Aug low to 30th Aug, #JPM rallied 15%. According to Qi’s MFERM, 53% of that rally can be explain by macro & 47% by idiosyncratic drivers. Since the end of August, JPM’s decline has been almost entirely idiosyncratic. $JPM has fallen ~9% in the space of 2wks BUT this time, the entirety of the sell-off can be explained by idio (namely JPM President Pinto warning analysts were overly optimistic on NIMs). As per the chart 👇, the macro factor attributable return only fell ~1% over this period. #riskofficers #portfoliomanagers #traders are all in the business of trying to predict & manage risks around where asset prices are going, looking forward. ▶ if you understand what's driving the price of your asset today, you're in a far better position to make judgement calls about the future, & to better manage your risks when the inevitable shock comes along. Contact us for the full analysis including which macro variables are critical for $JPM heading into tmrw's critical #fed meeting.

Great to partner with Kraneshares in providing the IP behind their new #China Alpha #ETF

The August flash crash in global equities highlighted the fragility of market sentiment. While many were caught off guard, Quant Insight’s quantitative model flagged several warning signs in advance.   Gain superior insights with Quant Insight's guest blog by Huw Roberts and Amit Khanna: https://lnkd.in/e3ABDhmP   📢 Quant Insight data is now available on Macrobond ONE! Support your analysis with the latest in forecast modelling: https://lnkd.in/gTYvnrNK