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Articles 1 - 5 of 5
Full-Text Articles in Macroeconomics
Market For Patents, Monopoly, And Misallocation, Shang-Jin Wei, Jianhuan Xu, Ge Yin, Xiaobo Zhang
Market For Patents, Monopoly, And Misallocation, Shang-Jin Wei, Jianhuan Xu, Ge Yin, Xiaobo Zhang
Research Collection School Of Economics
The paper studies a possible “dark side” of patent trade in enhancing the market power of monopolists. We explore the different effects of China’s 2008 tax reform on patent innovations and sales across industries. In particular, although easier patent trade leads to more patent creation, the new patents are disproportionately connected to existing monopolists and are more likely to be acquired by them. Using an endogenous growth model with patent trade, we show that subsidizing patent trade could skew investors’ research to appeal to the monopolists, increase the latter’s monopoly power, and reduce social welfare. An optimal subsidy policy for …
Common Bubble Detection In Large Dimensional Financial Systems, Ye Chen, Peter C. B. Phillips, Shuping Shi
Common Bubble Detection In Large Dimensional Financial Systems, Ye Chen, Peter C. B. Phillips, Shuping Shi
Research Collection School Of Economics
Price bubbles in multiple assets are sometimes nearly coincident in occurrence. Such near-coincidence is strongly suggestive of co-movement in the associated asset prices and is likely driven by certain factors that are latent in the financial or economic system with common effects across several markets. Can we detect the presence of such common factors at the early stages of their emergence? To answer this question, we build a factor model that includes I(1), mildly explosive, and stationary factors to capture normal, exuberant, and collapsing phases in such phenomena. The I(1) factor models the primary driving force of market fundamentals. The …
Inflation Dynamics And Expectations In Singapore, Hwee Kwan Chow-Tan
Inflation Dynamics And Expectations In Singapore, Hwee Kwan Chow-Tan
Research Collection School Of Economics
Inflation dynamics in Singapore have primarily been shaped by foreign factors, including global inflationary pressures and external macroeconomic shocks. More recently, the normalisation phase of the Covid-19 pandemic crisis has led to domestic price pressures from pent-up demand and supply-chain disruptions. Meanwhile, the war in Ukraine has resulted in a hike in the global prices of food, energy, and industrial commodities. Using inflation forecasts from the MAS Survey of Professional Forecasters as our measure of inflation expectations, we show that short-term inflation expectations have shifted up recently. Moreover, greater disagreement amongst survey respondents in the more recent surveys suggests individual …
Economic Forecasting In Singapore: The Covid-19 Experience, Hwee Kwan Chow-Tan, Keen Meng Choy
Economic Forecasting In Singapore: The Covid-19 Experience, Hwee Kwan Chow-Tan, Keen Meng Choy
Research Collection School Of Economics
This Special Feature considers how accurately professional forecasters have predicted GDP growth and inflation in Singapore, especially during rare events such as the Global Financial Crisis (GFC) and COVID-19. It also illustrates the value of forecast probability distributions in inferring forecasters’ uncertainty when making predictions, and the degree of consensus between projections from different forecasters. The authors find that one-year ahead forecast errors for GDP growth and inflation increased during the GFC and the COVID-19 pandemic. While professional forecasters did not appear to have followed the Government’s forecasts when predicting growth during the GFC, they may have exhibited ”leader-following” behaviour …
High-Dimensional Vars With Common Factors, Ke Miao, Peter C. B. Phillips, Liangjun Su
High-Dimensional Vars With Common Factors, Ke Miao, Peter C. B. Phillips, Liangjun Su
Research Collection School Of Economics
This paper studies high-dimensional vector autoregressions (VARs) augmented with common factors that allow for strong cross-sectional dependence. Models of this type provide a convenient mechanism for accommodating the interconnectedness and temporal co-variability that are often present in large dimensional systems. We propose an ℓ1-nuclear-norm regularized estimator and derive the non-asymptotic upper bounds for the estimation errors as well as large sample asymptotics for the estimates. A singular value thresholding procedure is used to determine the correct number of factors with probability approaching one. Both the LASSO estimator and the conservative LASSO estimator are employed to improve estimation precision. The conservative …