Loading…
Hosted by Fexingo · 🇺🇸 US · EN · 102 episodes
Established thought leaders with verified media credentials.
Lucas and Luna examine how central banks shape the economy through money supply and interest rates. Each episode dissects a specific policy move — a rate hike by the Federal Reserve, a quantitative easing program by the ECB, or a reserve requirement change by the People's Bank of China — and traces its impact on inflation, employment, and financial markets. Lucas brings the macroeconomic framework, citing exact data points from recent central bank statements and academic research. Luna pushes for the real-world implications: what does a 25-basis-point increase mean for a small business owner in Ohio or a bond trader in London? Together, they strip away jargon to reveal the mechanics of monetary transmission. The show serves investors, economics students, and professionals who need to understand policy signals without the noise. No hot takes, no political spin — just a clear-eyed look at how decisions made in marble halls ripple through the global economy. Can a central bank really stee
Fexingo hosts Monetary Policy Explained with Fexingo: Central Banks, Money Supply, and Interest Rates, a business show with 102 episodes published.
Episode 130 of Monetary Policy Explained with Fexingo. Lucas and Luna dive into the Federal Reserve's overnight reverse repo facility — a once-obscure tool that has become a key indicator of liquidity in the financial sy
In episode 129 of Monetary Policy Explained with Fexingo, Lucas and Luna explore why central banks are fixated on the global savings glut — and how it's distorting interest rates, inflation targets, and policy transmissi
In this episode of Monetary Policy Explained, Lucas and Luna drill into one of 2026's most debated concepts: the wage-price spiral. They explore whether the classic 1970s-style feedback loop — wages up, prices up, wages
In this episode of Monetary Policy Explained with Fexingo, Lucas and Luna dive into the output gap — the difference between actual GDP and potential GDP — and why central banks are paying closer attention to it in mid-20
Episode 126 of Monetary Policy Explained with Fexingo: Lucas and Luna break down the term premium — the extra yield investors demand for holding long-term bonds — and why central banks from the Fed to the ECB are obsessi
Central banks rarely say it out loud, but deliberately weakening the exchange rate is one of their oldest tools. In this episode, Lucas and Luna unpack competitive devaluation — why the Bank of Japan leaned into yen weak
In Episode 124 of Monetary Policy Explained with Fexingo, Lucas and Luna explore how central banks rely on inflation expectations surveys — from the University of Michigan Survey of Consumers to the Survey of Professiona
Today, Lucas and Luna explore how central banks incorporate the Shapiro-Stiglitz efficiency wage model into their understanding of labor markets and inflation. The model suggests that firms pay above-market-clearing wage
In Episode 122 of Monetary Policy Explained with Fexingo, Lucas and Luna dive into the central bank discount window—a tool that lets banks borrow overnight in emergencies. They walk through how the Federal Reserve's disc
Episode 121 of Monetary Policy Explained with Fexingo dives into the loan-to-deposit ratio (LDR) and why central banks monitor it as a signal of bank funding stability. Lucas and Luna unpack a real example from the 2023
Episode 120 of Monetary Policy Explained with Fexingo dives into the credit impulse – the change in new credit creation relative to GDP. Lucas and Luna unpack why the Bundesbank and the Bank of Japan are tracking this le
Lucas and Luna explore why central banks are increasingly focused on bank funding costs as a leading indicator of financial stability and monetary policy transmission. Using the 2023 regional banking turmoil as a referen
Episode 118 of Monetary Policy Explained with Fexingo dives into the history and mechanics of inflation targeting, using the Reserve Bank of New Zealand's 1989 pioneering move as the anchor. Lucas and Luna explore why ce
Central banks monitor labor market tightness via the ratio of job vacancies to unemployed workers. This episode dives into the specifics: the JOLTS data, the Beveridge curve, and the recent flattening. As of mid-2026, th
Episode 116 of Monetary Policy Explained with Fexingo dives into the Liquidity Coverage Ratio — the post-2008 rule that forces banks to hold enough high-quality liquid assets to survive a 30-day stress scenario. Lucas an
In this episode of Monetary Policy Explained, Lucas and Luna dig into the money supply curve: what it is, why central banks care about it, and how it shapes policy decisions. Using the real-world example of the ECB's Oct
In this episode of Monetary Policy Explained with Fexingo, Lucas and Luna dive into the concept of the neutral rate of interest—often called R-star. They explore why central banks are currently scrutinizing the neutral r
In this episode of Monetary Policy Explained with Fexingo, Lucas and Luna dig into R-star — the neutral rate of interest — and why it matters more than ever in mid-2026. They use the recent Federal Reserve Summary of Eco
In this episode, Lucas and Luna explore how central banks use the Phillips curve to gauge the trade-off between inflation and unemployment. They break down why the curve has flattened over the past two decades, using the
Episode 111 of Monetary Policy Explained with Fexingo. Lucas and Luna dive into the world of overnight index swaps, or OIS. They explain how the OIS rate strips out credit risk, making it a pure measure of expected centr
Detected from recent episode content. Sponsor presence is a real signal of listener purchasing power and show monetisation.
No public pitch examples yet for this show.
Generate your own personalised pitchBased on semantic analysis of episode topics and host coverage, this show is a strong guest fit for executives in:
Industry fit is computed by PitchCentric using vector embeddings of the show's episode catalog.
Shows with the most semantically similar episode content. Pitch one, pitch all; producers cluster.
Monetary Policy Explained with Fexingo: Central Banks, Money Supply, and Interest Rates has a verified contact on file. Create a free PitchCentric account to access it and generate a personalised pitch in seconds. Research at least 3 recent episodes first and lead with a specific angle that serves their business audience.
Monetary Policy Explained with Fexingo: Central Banks, Money Supply, and Interest Rates is hosted by Fexingo. The show is categorised under business and has published 102 episodes.
Monetary Policy Explained with Fexingo: Central Banks, Money Supply, and Interest Rates has published 102 episodes.
Monetary Policy Explained with Fexingo: Central Banks, Money Supply, and Interest Rates regularly covers business. It sits in the business category.
Monetary Policy Explained with Fexingo: Central Banks, Money Supply, and Interest Rates is accessible for guests with genuine business expertise. A personalised, episode-aware pitch will still outperform a generic one every time.
Monetary Policy Explained with Fexingo: Central Banks, Money Supply, and Interest Rates hasn't explicitly signalled guest openness in recent episodes. That doesn't rule out pitching. your hook just needs to be especially compelling and relevant to their recent content.
Episodes of Monetary Policy Explained with Fexingo: Central Banks, Money Supply, and Interest Rates average 9 minutes. a focused format where a clear narrative arc and tight preparation matter most.
Our data rates Monetary Policy Explained with Fexingo: Central Banks, Money Supply, and Interest Rates's guest bar at 80/100 (Premium tier). Established thought leaders with verified media credentials. Sign in to PitchCentric to see how your own Pod Score compares against this show.
Methodology. Booking Probability™ blends Listen Score, 30-day Virality, open-to-guests detection, and Apple ratings. Data refreshed every 60 minutes. Listen Score and Booking Probability are calculated by PitchCentric. Last enriched 9 days ago.