Binance Latest Report: 2024 Rate Cut Cycle Approaching, Comprehensive Analysis of the Fed Policy Impact
Original Title: The Fed, Interest Rates, and the Economy: A Primer
Original Source: Binance Research
Original Translation: Deep Tide TechFlow
Introduction
In today's ever-changing global economic landscape, the monetary policy direction of the Federal Reserve sets the tone for the global financial markets. In September 2024, the Fed cut interest rates for the first time since 2020, initiating a new rate-cutting cycle.
Binance Research recently released a report that delves into the origins of the Fed's interest rate policy and its impact on the economy and various assets.
Starting from economic theory, the report combines latest data and historical experience to systematically analyze the relationship between interest rates, inflation, employment, and other core economic indicators. Additionally, it provides a comprehensive analysis of the performance of different asset classes such as stocks, bonds, commodities, and cryptocurrencies during a rate-cutting cycle, offering investors clear decision-making references.
Deep Tide TechFlow has summarized the key information from the report as follows.

Key Points
· Latest Rate-Cut Dynamics: The Federal Reserve announced a 0.5% rate cut in September 2024, followed by an additional 0.25% cut in November, marking the first rate cut action since the COVID-19 response measures in March 2020. The market expects further rate cuts of 1-2 percentage points in 2025, with a 62% probability of another 0.25% rate cut in December.
· Policy Background Analysis: The Federal Reserve adheres to a "dual mandate" principle, aiming to promote maximum employment and maintain price stability (with a 2% inflation target). In mid-2022, inflation briefly surpassed 9%, prompting the Fed to take aggressive rate hike measures, raising rates to the highest level in 20 years. As inflation gradually cools down, the Fed has initiated a new round of rate cuts.
· Interest Rate Transmission Mechanism: As the "price of money," interest rates affect the market through two main channels:
- Reducing borrowing costs, making it easier for market participants to access funds while lowering the burden of existing debts
- Lowering the risk-free interest rate, prompting investors to seek other investment channels to seek higher returns
· Historical Trend: The US interest rate has shown a structural downward trend over the past 50 years, from 8-10% in the 1980s to near-zero interest rates in the 2010s, and more recently to above 5%.
· Asset Performance Analysis:
- The stock market (S&P 500) generally experiences an upward trend after rate cuts, but there may be exceptions during economic recessions
- Commodities have a complex relationship with interest rates, influenced by factors such as inventory costs, yield volatility, and exchange rates
- Bond prices have a clear inverse relationship with interest rates
- Although cryptocurrency has limited historical data, it has shown strong performance during rate-cutting cycles, such as a 537% growth in the 12 months following the rate cut in March 2020
Policy Shift: The Global Central Bank Rate-Cutting Era Begins
On September 18, 2024, the Federal Reserve lowered the federal funds target rate range by 0.5 percentage points to 4.75-5.00%, marking its first rate cut since March 2020 in response to the COVID-19 pandemic. Prior to this, in response to rising inflation, the Fed aggressively raised rates from March 2022 to July 2023, then maintained rates unchanged in eight consecutive meetings until this rate cut. The November 0.25% rate cut further confirmed the onset of a new rate-cutting cycle.
The Fed's policy actions have always revolved around its dual mandate: promoting maximum employment and maintaining price stability. In the post-pandemic period, rapid price increases saw mid-2022 inflation briefly exceeding 9%, prompting the Fed to initiate its most aggressive rate-hiking cycle in 20 years, raising the target rate from 0-0.25% during the pandemic to 5.25-5.50%. As inflation gradually cools, the Fed has started shifting toward a more accommodative stance. The current market expects a 1-1.5 percentage point rate cut in 2025, with a 62% probability of a 0.25% rate cut in December (38% probability of no change).
The interplay between inflation, rate cuts, and the broader economic system (including asset performance) is intricate and warrants close attention from market participants.
It is worth noting that in 2024, several global central banks have embarked on a rate-cutting process, a trend that will have a profound impact on global financial markets.

Basic Concept: Interest Rate and Economic Mechanism
Warren Buffett once said, "Interest rates are the gravity of the financial universe." Let's start from the most basic concept to understand how interest rates affect the economic mechanism.
Basic Principle of Interest Rates
• Core Definition: Interest rate is fundamentally the "price of money"
Raising Interest Rates = Money becomes more expensive
Lowering Interest Rates = Money becomes cheaper
Two Major Impacts of the Current Rate Cut Environment
1. Debt and Lending Effect
· Businesses and institutions can obtain financing at a lower cost, promoting investment expansion
· The interest burden of existing debt is reduced, improving cash flow
· Consumer borrowing costs decrease, stimulating consumption and housing demand
· Overall economic activity is boosted, contributing to economic growth
2. Yield Effect
· The yield of risk-free assets such as government bonds decreases
· Investors are forced to seek other investment channels for higher returns
· Valuations of risky assets such as stocks and real estate receive support
· Funds shift from low-risk assets to high-risk assets
Key Economic Variables
1. Inflation
· The Federal Reserve has set 2% as the long-term inflation target
· It exceeded a high of 9% in mid-2022
2. Employment Situation
· The current unemployment rate is maintained at a relatively healthy level of 4.1%
· Non-farm payroll data is released on the first Friday of each month, a key market indicator
3. Market Environment and External Factors

· Corporate Earnings: Quarterly financial reports and expectations are a barometer of market confidence
· Regulatory Policy: Regulatory stance on financial innovation including cryptocurrency (as shown in the chart below, green represents a significant increase in crypto-friendly individuals in the U.S. House and Senate post-election)
· Geopolitics: External impacts such as international trade relations, regional conflicts, etc.
· Macroeconomic Indicators: Including trade balance, consumer confidence, PMI, etc.
Historical Perspective: Past Fed Rate Cut Cycles and Asset Performance
Interest Rate Trends
Over the past 50 years, U.S. interest rates have shown a structural downward trend:
· 1980s: Maintained at high levels of 8-10%
· 2010s: Near-zero interest rate levels
· Recent: Rose to above 5%
· September and November 2024: Initiation of a new rate cut cycle

Historical Performance of Various Assets
1. Stock Market (S&P 500)
· Overall Trend: Typically rises post-rate cuts

Specific Performance:

September 1984 First Rate Cut: 3 months +1%, 6 months +9%, 12 months +14%
July 1995 Rate Cut: 3 months +6%, 6 months +13%, 12 months +22%
Special Cases: Negative returns observed in 2001 and 2007 (during economic recessions)
January 2001: 12 months -12%
September 2007: 12 months -18%
2. Commodities
· Influencing Factors:
Inventory Cost: Interest Rates Impact Holding Costs
Yield Characteristics: No Fixed Income
USD Exchange Rate: Commodities Mostly Priced in USD
· Inflation Linkage:

- Typically Regarded as a Leading Indicator of Inflation
- Commonly Used as an Inflation Hedge Tool
3. Bonds
· Core Characteristic: Exhibits a Clear Inverse Relationship with Interest Rates

· Operational Mechanism:
- Interest Rate Increase → Bond Price Decrease
- Interest Rate Decrease → Bond Price Increase
Ten-Year Treasury Yield: Highly Correlated with the Federal Funds Rate
4. Cryptocurrency
· Historical Data: Only Experienced Two Rate Cut Cycles (Second Half of 2019 and March 2020)
· Performance Highlights:
July 2019 Rate Cut: 12-Month +25%
March 2020 Rate Cut: 12-Month +537%
· Special Considerations:
- Short Sample Period
- Relatively Small Market Size, High Volatility
- Influenced by Multiple Factors, Not Just Interest Rate Changes

This historical review shows that while rate cuts typically support asset prices, the specific performance varies by asset class and macro environment. Especially during an economic downturn, even rate cuts may not be able to prevent asset price declines, indicating that investors need to consider multiple factors comprehensively rather than making investment decisions solely based on rate cuts.

Conclusion: Global Rate Cut Cycle Initiated, Market Opportunities and Challenges Coexist
As the report shows, September 2024 became the fourth-largest rate cut month of the century, with 26 central banks globally implementing rate cut policies. This trend continued into October and November, marking the start of a new cycle in global monetary policy. As the most influential central bank globally, the Fed's two rate cuts in September and November not only had far-reaching impacts but also heralded the possibility of even broader policy easing in 2025.
From a historical perspective, a rate-cutting cycle often reduces the cost of money, improves the market's liquidity environment, and thereby provides support for asset prices. However, this rate-cutting cycle has its uniqueness: Global inflation has significantly fallen from its peak in 2022, but there is still a need to be vigilant against the risk of inflation rebound; the labor market remains relatively stable, with the unemployment rate staying at a healthy level of 4.1%; geopolitical tensions have added additional uncertainty.
Looking ahead to 2025, the market broadly expects the Fed to continue cutting rates by 1-1.5 percentage points. In this context, major central banks worldwide may follow the Fed's lead to further improve the liquidity environment. However, while investors seize opportunities, they also need to stay cautious: Different asset classes may perform differently during a rate-cutting cycle, and simply following the rate cuts may not achieve the desired returns. It is recommended that investors, with a full understanding of the fundamentals, focus on structural opportunities, make prudent allocations, to better cope with this new market environment.
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Debunking the AI Doomsday Myth: Why Establishment Inertia and the Software Wasteland Will Save Us
Editor's Note: Citrini7's cyberpunk-themed AI doomsday prophecy has sparked widespread discussion across the internet. However, this article presents a more pragmatic counter perspective. If Citrini envisions a digital tsunami instantly engulfing civilization, this author sees the resilient resistance of the human bureaucratic system, the profoundly flawed existing software ecosystem, and the long-overlooked cornerstone of heavy industry. This is a frontal clash between Silicon Valley fantasy and the iron law of reality, reminding us that the singularity may come, but it will never happen overnight.
The following is the original content:
Renowned market commentator Citrini7 recently published a captivating and widely circulated AI doomsday novel. While he acknowledges that the probability of some scenes occurring is extremely low, as someone who has witnessed multiple economic collapse prophecies, I want to challenge his views and present a more deterministic and optimistic future.
In 2007, people thought that against the backdrop of "peak oil," the United States' geopolitical status had come to an end; in 2008, they believed the dollar system was on the brink of collapse; in 2014, everyone thought AMD and NVIDIA were done for. Then ChatGPT emerged, and people thought Google was toast... Yet every time, existing institutions with deep-rooted inertia have proven to be far more resilient than onlookers imagined.
When Citrini talks about the fear of institutional turnover and rapid workforce displacement, he writes, "Even in fields we think rely on interpersonal relationships, cracks are showing. Take the real estate industry, where buyers have tolerated 5%-6% commissions for decades due to the information asymmetry between brokers and consumers..."
Seeing this, I couldn't help but chuckle. People have been proclaiming the "death of real estate agents" for 20 years now! This hardly requires any superintelligence; with Zillow, Redfin, or Opendoor, it's enough. But this example precisely proves the opposite of Citrini's view: although this workforce has long been deemed obsolete in the eyes of most, due to market inertia and regulatory capture, real estate agents' vitality is more tenacious than anyone's expectations a decade ago.
A few months ago, I just bought a house. The transaction process mandated that we hire a real estate agent, with lofty justifications. My buyer's agent made about $50,000 in this transaction, while his actual work — filling out forms and coordinating between multiple parties — amounted to no more than 10 hours, something I could have easily handled myself. The market will eventually move towards efficiency, providing fair pricing for labor, but this will be a long process.
I deeply understand the ways of inertia and change management: I once founded and sold a company whose core business was driving insurance brokerages from "manual service" to "software-driven." The iron rule I learned is: human societies in the real world are extremely complex, and things always take longer than you imagine — even when you account for this rule. This doesn't mean that the world won't undergo drastic changes, but rather that change will be more gradual, allowing us time to respond and adapt.
Recently, the software sector has seen a downturn as investors worry about the lack of moats in the backend systems of companies like Monday, Salesforce, Asana, making them easily replicable. Citrini and others believe that AI programming heralds the end of SaaS companies: one, products become homogenized, with zero profits, and two, jobs disappear.
But everyone overlooks one thing: the current state of these software products is simply terrible.
I'm qualified to say this because I've spent hundreds of thousands of dollars on Salesforce and Monday. Indeed, AI can enable competitors to replicate these products, but more importantly, AI can enable competitors to build better products. Stock price declines are not surprising: an industry relying on long-term lock-ins, lacking competitiveness, and filled with low-quality legacy incumbents is finally facing competition again.
From a broader perspective, almost all existing software is garbage, which is an undeniable fact. Every tool I've paid for is riddled with bugs; some software is so bad that I can't even pay for it (I've been unable to use Citibank's online transfer for the past three years); most web apps can't even get mobile and desktop responsiveness right; not a single product can fully deliver what you want. Silicon Valley darlings like Stripe and Linear only garner massive followings because they are not as disgustingly unusable as their competitors. If you ask a seasoned engineer, "Show me a truly perfect piece of software," all you'll get is prolonged silence and blank stares.
Here lies a profound truth: even as we approach a "software singularity," the human demand for software labor is nearly infinite. It's well known that the final few percentage points of perfection often require the most work. By this standard, almost every software product has at least a 100x improvement in complexity and features before reaching demand saturation.
I believe that most commentators who claim that the software industry is on the brink of extinction lack an intuitive understanding of software development. The software industry has been around for 50 years, and despite tremendous progress, it is always in a state of "not enough." As a programmer in 2020, my productivity matches that of hundreds of people in 1970, which is incredibly impressive leverage. However, there is still significant room for improvement. People underestimate the "Jevons Paradox": Efficiency improvements often lead to explosive growth in overall demand.
This does not mean that software engineering is an invincible job, but the industry's ability to absorb labor and its inertia far exceed imagination. The saturation process will be very slow, giving us enough time to adapt.
Of course, labor reallocation is inevitable, such as in the driving sector. As Citrini pointed out, many white-collar jobs will experience disruptions. For positions like real estate brokers that have long lost tangible value and rely solely on momentum for income, AI may be the final straw.
But our lifesaver lies in the fact that the United States has almost infinite potential and demand for reindustrialization. You may have heard of "reshoring," but it goes far beyond that. We have essentially lost the ability to manufacture the core building blocks of modern life: batteries, motors, small-scale semiconductors—the entire electricity supply chain is almost entirely dependent on overseas sources. What if there is a military conflict? What's even worse, did you know that China produces 90% of the world's synthetic ammonia? Once the supply is cut off, we can't even produce fertilizer and will face famine.
As long as you look to the physical world, you will find endless job opportunities that will benefit the country, create employment, and build essential infrastructure, all of which can receive bipartisan political support.
We have seen the economic and political winds shifting in this direction—discussions on reshoring, deep tech, and "American vitality." My prediction is that when AI impacts the white-collar sector, the path of least political resistance will be to fund large-scale reindustrialization, absorbing labor through a "giant employment project." Fortunately, the physical world does not have a "singularity"; it is constrained by friction.
We will rebuild bridges and roads. People will find that seeing tangible labor results is more fulfilling than spinning in the digital abstract world. The Salesforce senior product manager who lost a $180,000 salary may find a new job at the "California Seawater Desalination Plant" to end the 25-year drought. These facilities not only need to be built but also pursued with excellence and require long-term maintenance. As long as we are willing, the "Jevons Paradox" also applies to the physical world.
The goal of large-scale industrial engineering is abundance. The United States will once again achieve self-sufficiency, enabling large-scale, low-cost production. Moving beyond material scarcity is crucial: in the long run, if we do indeed lose a significant portion of white-collar jobs to AI, we must be able to maintain a high quality of life for the public. And as AI drives profit margins to zero, consumer goods will become extremely affordable, automatically fulfilling this objective.
My view is that different sectors of the economy will "take off" at different speeds, and the transformation in almost all areas will be slower than Citrini anticipates. To be clear, I am extremely bullish on AI and foresee a day when my own labor will be obsolete. But this will take time, and time gives us the opportunity to devise sound strategies.
At this point, preventing the kind of market collapse Citrini imagines is actually not difficult. The U.S. government's performance during the pandemic has demonstrated its proactive and decisive crisis response. If necessary, massive stimulus policies will quickly intervene. Although I am somewhat displeased by its inefficiency, that is not the focus. The focus is on safeguarding material prosperity in people's lives—a universal well-being that gives legitimacy to a nation and upholds the social contract, rather than stubbornly adhering to past accounting metrics or economic dogma.
If we can maintain sharpness and responsiveness in this slow but sure technological transformation, we will eventually emerge unscathed.
Source: Original Post Link

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