economics-and-econometrics
The Ph.D. in Economics at Sapienza University of Rome—offered through the Department of Economics and Law—is one of Europe’s most rigorous and research‑intensive doctoral programs. Designed for highly motivated students with a strong passion for advanced economic theory, quantitative methods, and empirical research, this four‑year program provides a transformative academic journey that prepares g…
Financial markets are becoming increasingly complex as global systems grow more interconnected and data-driven. Banks, hedge funds, pension funds, insurers, and asset managers now operate in an environment where interest rates, currencies, commodities, equities, and credit markets can all influence one another simultaneously. As this complexity continues to increase, traditional approaches to fin…
Standard economic theory, built exclusively on instrumental rationality (means-end calculation for material efficiency), cannot explain the explosive growth of the digital social economy nor resolve the persistent Solow paradox: massivecomputing & AI investments have failed to deliver corresponding productivity gains; to address this, we develop a new ontological foundation for economics based on…

This paper takes the Turing computability boundary as a meta-axiom and constructs a unified dynamic general equilibrium framework of human-machine symbiosis. We first provide a rigorous mathematical definition of the Universal Turing Machine (UTM) using the standard seven-tuple structure, establish its equivalence to recursive functions and finite formal axiomatic systems, and prove that all cont…

Rapid advances in artificial intelligence have reignited two fundamental questions: what constitutes the irreplaceable core of human economic capacity, and what anchors economic value when automated systems can perform most routine cognitive and physical tasks. Canonical task-based models, relying on ad-hoc ex-post classifications of routine versus non-routine work, cannot explain the observed 15…

The "Solow Paradox of the AI Era"—exponential computing power growth amid slowing global productivity—remains unexplained by standard growth frameworks, which uniformly treat AI as an advanced production tool and implicitly assume formalized computation can replicate all human economic capabilities. We argue this assumption is fundamentally flawed: all digital systems are trapped in the "Turing C…

The average person works 80,000 hours over the course of their career. Ideally, that time should be fulfilling, well-paid, and spent doing things that make the world a better place. Of course that’s much, much easier said than done. In an increasingly fragile job market made still more fraught by AI, there’s no longer such […]
India’s securities market software industry is entering a significant growth phase as financial institutions, brokerages, exchanges, and investment platforms accelerate digital transformation and technology modernisation initiatives. Industry experts note that rising trading activity, regulatory complexity, and increasing demand for real-time Read More ... The post Indian securities market softwa…
A new study presents a neural-network method for building efficient portfolios while keeping the allocation process interpretable. Instead of treating asset correlations as a black box, the model learns how to clean noisy collective market patterns and respects the symmetries of covariance matrices.
Sowilo Investment Manager offers trusted Portfolio Management Services in India designed for investors seeking long-term wealth creation. With expert market research, personalized investment strategies, and disciplined portfolio management, the company helps clients achieve... Read more
Out-of-pocket health care spending is an inefficient and inequitable financing mechanism, as it reduces household well-being and can push families into poverty. This study estimates the impoverishment associated with out-of-pocket health care expenditures in Peru between 2010 and 2021 and identifies the factors associated with such impoverishment. Using microdata from the National Household Surve…
International audience
A research analyst's perspective on where AI and finance intersect As of 2026, generative AI is used pervasively in investment research. So in this already-crowded market, why does DeepSeek emphasize financial reasoning, and can that translate into genuine excess returns (alpha)? This piece examines the argument not through benchmarks or marketing, but through the model's design architecture and …
Global prices are approaching a tipping point that could trigger inflation, shortages and, over time, recession If a US-Iran deal is about to be reached, three months on from the launch of Donald Trump’s Operation Epic Fury, it will not be a day too soon for oil markets, which are approaching a dangerous tipping point. The cost of a barrel of crude on the spot market – for immediate purchase, eff…

My question is simple, consider a European call with payoff max(S_T-K, 0), Let's suppose that the underlying stock follows a binomial tree with up and down factors I know as we take n goes to infinity that the stock is log-normally distributed at time t=T (I know how to derive it). The idea is to derive the B-S-M pricing formula as the expected value of the present value of max(S_t-K, 0) using t…

Urvashi Bisani, O.P. Jindal Global University ABSTRACT Corporate governance has long been structured around the principle of shareholder primacy. The doctrine, famously articulated by Milton Friedman in 1970, that a corporation’s sole legitimate purpose is the maximisation of shareholder profit. This paper challenges that orthodoxy. Drawing on stakeholder theory, comparative corporate law, and th…
D.M. Salai Siva Keerthana, Assistant Professor, GTN Law College, Dindigul. ABSTRACT The rapid expansion of the gig economy in India has led to the increasing use of algorithmic management by digital labour platforms to regulate, monitor and control workers. While this technology-driven model enhances operational efficiency and service delivery, it raises significant concerns regarding labour righ…
Nature Human Behaviour, Published online: 20 May 2026; doi:10.1038/s41562-026-02471-y Support for drug policies reflects status quo bias: the public favours legal drugs more than hypothetical drugs with identical properties. The reverse holds for illegal drugs. Harm information reduces this bias for legal drugs, but not illegal ones.
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