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The purpose of this paper is to examine the degree of persistence in four precious metal prices (i.e. gold, palladium, platinum and silver) during the last four US recessions.

Using daily price data for gold, palladium, platinum and silver running from July 2, 1990, to March 21, 2022, and dating of business cycles in the USA provided by NBER (2022), the paper uses fractional integration to test the degree of persistence of precious metal prices.

The empirical analysis shows the unrelenting prominence of gold in relation to other precious metals (palladium, platinum and silver) as a hedge against market uncertainty in the post-pandemic new era.

Two are the main contributions of the paper. Firstly, the authors contribute to the commodity markets and finance literature on precious metal price modelling. Secondly, the authors also contribute to the literature on commodity markets and business cycles with a special focus on recessionary periods.

This paper aims to analyze the connectedness between bitcoin (BTC) and other traditional assets (e.g. metals) in times of financial turbulence like the COVID pandemic. The purpose is to see to what extent BTC is mimicking the role precious metals are known for, that of being a reliable store of value.

The author relies on vector autoregressive modeling, as it yields a very flexible framework for forecasting and interpreting the interdependencies among variables, while providing a very intuitive framework when the underlying structural model is unknown. The author performs the analysis first for the whole sample and then for a “COVID-19 subsample.”

The author finds evidence supporting a stronger link between BTC and gold in COVID-19 times, with BTC the main driving force. The author quantifies the contribution of BTC to the surge in gold’s price during those early months of COVID-19 in the order of 28%, thus lending support to the idea of intrinsic or fundamental value in BTC.

Investors might consider including BTC in their portfolios as a long-term investment, very much like they do with gold.

Cryptos at large represent an important check on the ever-expanding monetary policy pursued by central banks in recent times.

The COVID-19 pandemic has taken its toll on the world economy. It is thus timely to reevaluate the relationship between BTC and other assets such as gold and silver, which are traditionally seen as safe havens against uncertainty.

The main goal of this paper is to evaluate the players' contribution and economic value in the soccer industry. Media visibility records provide us with comparable metrics to identify talent and make hiring decisions – these records can jointly capture sport (on-field) skills and other attractive (off-field) abilities.

This paper presents a valuation method that applies media visibility appraisals to estimate “theoretical values” of the transfer fees paid for hiring soccer players. The estimations are performed by analysing the evolution over time of the media exposure of about 5,000 individuals of more than 200 clubs.

The study’s empirical results reveal that, along with sport performance, the players' media status also affects their economic valuation, which explains why the clubs – in search of greater economic returns – fiercely compete for the most popular players. The paper also identifies the main factors determining the players' economic value. In predicting the players' transfer fees, some variables are statistically significant: individual media visibility, media visibility share of the player within his team, contract duration, status of the hiring team, years of experience, player's age at the end of the contract and the domestic league of the hiring team.

Professional sports provide reliable measures on individuals' performance that may help in the hiring process of workers. This paper identifies gifted soccer players while taking into account their skills as media leaders and the economic implications. Insofar as players' talents determine their teams' sport and economic achievements, the transfer fees paid for players must then be seen as a crucial factor. Measuring individual talent and being able to translate this talent into productivity levels entail serious methodological and empirical challenges.