Founder & Head of Research, Fortress Hill Advisors

Alex Ng

Alex Ng is the founder and head of research of the economic and investment research house Fortress Hill Advisors. Prior to founding Fortress Hill Advisors, he worked as an economic research analyst across government, academic, and financial institutes including the Hong Kong Financial Secretary’s Office (Office of the Government Economist), Economic Research Center of the Institute of Asia-Pacific Studies at CUHK, and State Street Global Markets. Alex holds a Master of Arts in Economics degree from Columbia University in the City of New York and a Bachelor of Arts in Economics and Mathematics from Wesleyan University (CT, USA).

Our firm's expertise lies in macroeconomics, global macro,  global thematic research, company and equity research, multi-asset strategy, event driven, and ESG.

We also do proprietary trading on the firm's capital, to try to vindicate our investment thesis. Our flagship publication, Heard from Fortress Hill (HFFH) provides our weekly market observations and is freely available on our website: https://fortresshill-advisors.com/hffh/

Founder & Head of Research

China Macro: Trickle-Down Inflation and Easing Bets

China: CPI Still Weak for July and Forecast of Upcoming Government Measures

China Economy – Weak inflation points to easing policy stance ahead

Battle Lines Drawn As BABA Builds Out First/Last-Mile Capacity; But Who Will Fund 75+ Bn CNY CapEx?

Fortress Hill Advisors

Founded in Hong Kong in 2019, Fortress Hill Advisor seeks to provide premium economic and financial researches.

Premium Economic & Investment Research

Macroeconomics

<ul>
<li>We are building our in-house proprietary China CPI Prediction Model, based on the paper "Forecasting China's Consumer Price Index (CPI) Based on Combined ARIMA-LSTM Models"* by Yu Liu.</li>
<li>This study aims to construct an efficient consumer price index (CPI) forecasting model to provide policymakers, investors, and businesses with more accurate forecasts of future price levels and inflation trends.</li>
<li>In this study, a combined model that integrates autoregressive integrated moving average (ARIMA) with long short-term memory (LSTM) networks is introduced.</li>
</ul>


We are building our in-house proprietary China CPI Prediction Model, based on the paper "Forecasting China's Consumer Price Index (CPI) Based on Combined ARIMA-LSTM Models"* by Yu Liu.
This study aims to construct an efficient consumer price index (CPI) forecasting model to provide policymakers, investors, and businesses with more accurate forecasts of future price levels and inflation trends.
In this study, a combined model that integrates autoregressive integrated moving average (ARIMA) with long short-term memory (LSTM) networks is introduced.


China CPI Prediction Model: Methodology and Sep 2024 Forecast