This book explores the next decade’s more frequent and intense economic, geopolitical, fiscal, and market volatility, technological innovation, disruption, and hype.
Long-term opportunity exists, and this book uses a 10-year horizon as a surrogate for a long-term perspective. Some of the world’s most important industries are being disrupted, especially finance via digital assets and Blockchain-based businesses, life sciences via gene editing, DNA sequencing, and CRISPR, and communications via advanced wireless data networks, software technologies including artificial intelligence, and new interactive platforms such as the Metaverse.
The collapse of FTX shows how easily crypto is manipulated and the “crypto ecosystem” is fundamentally driven by centralized players and not any true form of decentralized or digital assets. Cryptocurrency is a sideshow and benefits no one other than speculators hoping for a greater fool. However, the combination of digital asset regulation, central-bank cooperation, and distributed assets via decentralized platforms still represents one of the most intriguing opportunities, and, with the potential disruption of global finance, one of the most exciting investment areas today.
A new vision for artificial intelligence is using smaller more relevant data sets for dynamic learning generating more effective outcomes and better predictions. This model uses cognitive architecture, learns, transfers learning, and retains knowledge – enabling more valuable and compelling artificial intelligence applications. This approach is more closely related to the brain’s actual structures and much more effective than “neural networks,” which is a catchy name but the similarity to the brain’s actual functioning is in name only. Real advancement in artificial intelligence must live in reality, not theoretical marketing. The current state of artificial intelligence shows the shortcomings of big data and trial-and-error approaches. A new AI vision can be a more effective solution. Smaller data sets, more relevant information, dynamic data, and algorithms will lead to more appropriate outcomes, better tools, and more effective applications.
The onslaught of market-making bad news seems almost a daily event. A gloomy picture of slowing economic growth, elevated inflation, and confusing fiscal and monetary policy has added a lethal mixture to the market’s performance. Fiscal stimulus is sidelined, and monetary policy is constricting economic growth and entrepreneurial innovation. It makes for a gloomy outlook and an even more depressing long-term perspective. The next 10 years look more like a lost decade. High-growth company valuations have been significantly discounted, and over time as discount rates drop, their valuations are likely to increase substantially. Higher-yielding fixed income securities will be a standout performer as interest rates are reduced, the higher-yielding BDCs, REITs, leveraged loan securities, and high cash flow instruments, along with high-dividend equities, will prove extremely attractive and are currently available at bargain prices. Providers of value and users of value will be the winners for the next decade. Those generating real cash flow and disruptive innovation will define the next decade.
The rewards for innovative success have become enormous and unpalatable, especially among the five technological giants (Amazon, Apple, Facebook, Google, and Microsoft) forcing these firms to spend absurd amounts of money on lobbying in Washington DC. It’s an expensive and wasteful distraction, but essential in this brave new world. If nothing else, it clogs innovation. It is to our detriment – and the world is literally burning while politicians fiddle – and even more disastrously – impede innovative activity. Applying friction to free thinking and new ideas never ends well.
Innovation is unpredictable and astonishing – it can address the world’s most critical issues today, from hunger to efficient energy, to devastating diseases. It is also too often misguided, inefficient, and meaningless – creating nothing more than distractions and wastes of time cloaked in an image of technological wonder. Misguided and manipulative business plans sit side-by-side with the groundbreaking disruptions that may address society’s greatest problems.
Remarkable things can happen. Or not. Can we solve climate change, food shortage, limited healthcare, and other global stresses – all with TikTok videos? Innovation is unpredictable and astonishing – it can address the world’s most critical issues today, from hunger to efficient energy, to devastating diseases. It is also too often misguided, inefficient, and meaningless – creating nothing more than distractions and wastes of time cloaked in an image of technological wonder. Misguided and manipulative business plans sit alongside the groundbreaking disruptions that may address society’s most significant problems. We don’t have time. Even though there is no clear argument for resources going to a new video-sharing platform or immersive game, that is beside the point. Technology delivers something, nothing else can. It is the only way to find solutions to otherwise intractable and potentially devastating global crises. The freedom to pursue solutions is the essential first step. Letting the best people do their best is still the best policy. It will also generate the best outcome.
The market is consensus thinking. Performing above average means being different. Simply being different doesn’t define success. Success means understanding what it takes to not only think differently but understand when consensus thinking is wrong and executing and implementing those choices effectively. Doing better (generating superior returns with less overall risk) is difficult. Understanding “what’s really going on” is not a simple formula. It requires different, deeper, and better thinking. Depart from the investment crowd, focus on the factors that are necessary and, in combination, sufficient to make a difference, sustain performance and manage risk. It’s not easy or obvious, but it is superior.
Let the data tell the story. Remove human bias. Intuitive investment ideas may seem compelling, but more often, these ideas are time-consuming, inefficient, and inferior. Data and verification are more effective, and this approach has generated more successful investment strategies. Diverse thinking, diverse data, innovative approaches, and a willingness to be wrong and start over typically bring superior results. Trust the model. Data, discipline, and rigor win more often.
Automated trading strategies provide numerous advantages for implementing successful investment strategies. A rigorous and disciplined approach can lead to profitable strategies far superior to human discretionary trading.
Automated trading is disciplined trading. The strategy will do exactly as the underlying software is written. The software will enter trades based on the core logic of the strategy and likewise exit trades according to its exit logic. Irrational human behavior and biased decision-making do not interfere.
A new vision for artificial intelligence is using smaller more relevant data sets for dynamic learning generating more effective outcomes and better predictions. This model uses cognitive architecture, learns, transfers learning, and retains knowledge – enabling more valuable and compelling artificial intelligence applications. Our approach is more closely related to the brain’s actual structures and much more effective than “neural networks,” which is a catchy name but the similarity to the brain’s actual functioning is in name only. Real advancement in artificial intelligence must live in reality, not theoretical marketing. This video discusses our perspective on the current state of artificial intelligence, the shortcomings of big data and trial and error approaches, and the most effective solution and its prospects. Smaller data sets, more relevant information, dynamic data, and algorithms will lead to more appropriate outcomes, better tools, and more effective applications, especially within Arcadia’s algorithmic trading.
Transformation, or euphemistically, “disruption,” creates great opportunities to capture newly created wealth. But, as industries are transforming and strategic disruption is occurring, quite a lot of absurdity and certainly enough terror are associated with some of these extraordinary opportunities to require much greater analysis and understanding.
There are extraordinary risks associated with anything disruptive and transformational. The first disruptor isn’t always the one who creates the most value or is even a sustainable competitive entity.
Innovation does not mean competitive sustainability. Digital platforms, ranging from the internet to digital assets and cryptocurrency are transforming industries globally. But, along with that comes a lot of hyperbole and typically that is followed by very little substance. Great companies use technological disruption, innovation, and transformation to establish themselves and thrive. But they rarely last. Every company, even the most valuable companies such as Apple, Apple, Amazon, Facebook, Netflix, etc. must dynamically transform to stay competitive and valuable.
Transformations are certain. New entities will become very valuable, legacy companies will diminish, and a handful will transform and thrive.
Transformation and sustainability create and capture great wealth, but are far more challenging to identify, and even more challenging to sustain.