MétaCan
Menu
Back to cohort
Record W2994379543

Will High Risk Events Trigger a Recession

2015· article· en· W2994379543 on OpenAlexaboutno aff
Evangelos Otto Simos

Bibliographic record

Venue˜The œjournal of business forecasting · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic, financial, and policy analysis
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)RecessionEconomicsBusiness cycleLiberian dollarCurrencyGlobal recessionReal gross domestic productEconomic recoveryEconomic indicatorMonetary economicsGeographyFinanceMacroeconomics
DOInot available

Abstract

fetched live from OpenAlex

I. GLOBAL ASSESSMENT AND OUTLOOKIn the first quarter of 2015, economic growth in the major countries, which maintain quarterly national accounts, was weaker than in any quarter since the end of the great recession. Revised and more complete estimates of real GDP show negative growth rates in the United States and Canada and anemic growth rates in most of the other countries.In the worldwide business cycle, the group of the Englishspeaking countries has led historically global economic activity. Monthly predictive analytics signal an underlying weakness for several months in the English-speaking countries, which have posted negative or steadily declining growth rates in their leading indicators.Globally, trade predictive analytics, which summarize worldwide merchandize exports, clearly point out an undergoing global slowdown contradicting the mediacreated myth of transitory snowstorms in New England as the cause of an economic downswing in the United States in the first quarter of this year. In March of this year, global exports, on a year-to-year basis, declined by 12.4%, the sixth consecutive monthly decline in a row following an expansion since October 2014. On a quarterly basis, in the first quarter of 2015 global exports dropped 10.2% from a year ago to $3.7 trillion, following a 2.6% decline in the last quarter of 2014. A major trigger for such dramatic changes in each county's business cycle has been the burst of the oil-price bubble coupled with currency realignments from the strengthening of the U.S. dollar as well as a slowdown in the growth in emerging economies.In addition to geopolitical risks related to the Middle East and Eastern Europe, there is high probability of one or more policy-created bubbles bursting this year. A hard landing in China from housing prices and/or stock market corrections; disintegration of the Euro Area; high debtto-income ratios-both private and public-in several countries; and the timing of an exit from an ill-conceived and permanent-perceived monetary policy of zero interest rates in the United States. Any of these events may trigger a significant correction in stock markets leading to another major recession with no tools left for economic policy.Assigning a 40% probability that any of these events will come suddenly into play this year and thus the risks will be gradually and orderly managed over the long run, we consider the current global economic slowdown to be a soft patch, which will maintain over the forecast horizon the ongoing moderate six-year-old path of recovery. Under these conditions, the baseline forecast predicts worldwide output to increase by just 2.7% in 2015, which is 0.5% below the moderate growth of 3.3% in 2014. Under this scenario, global economic growth is expected to stay on the existing trajectory for the rest of the decade with low investment, slowing productivity, lack of job creation, declining real wages, and halving of the growth in international trade from its established long-term trend for decades before the great recession.In the inflation front, the effect of lower energy prices has evaporated as oil prices quickly ended their free fall. It is expected over the forecast horizon oil prices will fluctuate around one-half of their latest peak. Inflationary expectations have begun to build up again driven by rising labor costs from social pressures in a climate of declining or stalling productivity.II. SHORT-TERM INDICATORS AND FORECASTSThe baseline forecast incorporates major findings of the World Economic Survey conducted in the second quarter of 2015 by the Center for Economic Studies (CES) at the Ludwig Maximilian University and the German Ifo Institute. About 1,100 executives from 115 countries have indicated that the world's economic climate edged up for a second quarter in a row after tumbling in the last quarter of 2014. The major findings of the second quarter's survey are as follows:* Worldwide, executives evaluated the current economic situation, second quarter of 2015, to be slightly above satisfactory levels, led by an improvement in consumer expenditures while capital expenditures remain below satisfactory levels. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0050.005
Open science0.0000.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0250.010

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.068
GPT teacher head0.231
Teacher spread0.163 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

Explore more

Same venue˜The œjournal of business forecastingSame topicEconomic, financial, and policy analysisFrench-language works237,207