scholarly journals The Efficacy of Large-Scale Asset Purchases When the Short-Term Interest Rate Is at Its Effective Lower Bound

2018 ◽  
Vol 2018 (2) ◽  
pp. 543-554 ◽  
Author(s):  
James D. Hamilton
Keyword(s):  
Interest Rate ◽  
Lower Bound ◽  
Large Scale ◽  
Short Term ◽  
Asset Purchases

scholarly journals The Case for Open-Market Purchases in a Liquidity Trap

2005 ◽  
Vol 95 (1) ◽  
pp. 110-137 ◽  
Author(s):  
Alan J Auerbach ◽  
Maurice Obstfeld
Keyword(s):  
Interest Rate ◽  
Large Scale ◽  
Open Market ◽  
Macroeconomic Stabilization ◽  
Short Term ◽  
Liquidity Trap ◽  
Welfare Impact ◽  
Dynamic General Equilibrium Model ◽  
Policy Tool ◽  
Economic Experience

Prevalent thinking about liquidity traps suggests that the perfect substitutability of money and bonds at a zero short-term nominal interest rate renders open-market operations ineffective for achieving macroeconomic stabilization goals. We show that even were this the case, there remains a powerful argument for large-scale open market operations as a fiscal policy tool. As we also demonstrate, however, this same reasoning implies that open-market operations will be beneficial for stabilization as well, even when the economy is expected to remain mired in a liquidity trap for some time. Thus, the microeconomic fiscal benefits of open-market operations in a liquidity trap go hand in hand with standard macroeconomic objectives. Motivated by Japan’s recent economic experience, we use a dynamic general-equilibrium model to assess the welfare impact of open-market operations for an economy in Japan’s predicament. We argue Japan can achieve a substantial welfare improvement through large open-market purchases of domestic government debt.

Negative Interest Rate Policies—Initial Experiences and Assessments

Policy Papers ◽  
2017 ◽  
Vol 2017 (10) ◽  
Author(s):  
Keyword(s):  
Monetary Policy ◽  
Interest Rate ◽  
Large Scale ◽  
Central Banks ◽  
Transmission Channel ◽  
Advanced Economies ◽  
Policy Transmission ◽  
Limited Support ◽  
Asset Purchases ◽  
Cross Country

The depth of the crisis and the weakness of the ensuing recovery led to new ways to implement monetary policy. At the onset of the crisis, central banks in several advanced economies quickly moved policy rates to zero and initiated large-scale asset purchases. In more recent years, with inflation still below target and limited support from fiscal policy, several central banks lowered their policy rates below the previous zero lower bound, embarking on so-called negative interest rate policies (NIRPs). This paper explores the implications of NIRPs for monetary policy transmission and banks’ behavior. It considers potential differences between interest rate cuts in positive versus negative territory on deposit and lending rates, as well as banks’ interest rate margins and profitability, and market functioning. The paper focuses on the bank transmission channel, where differences between positive and negative policy rates could arise. Finally, the paper reviews cross-country experiences through case studies.

The Dynamics of the Short-Term Interest Rate in the UK

2005 ◽  
Author(s):  
Diether W. Beuermann ◽  
Antonios Antoniou ◽  
Alejandro Bernales
Keyword(s):  
Interest Rate ◽  
Short Term ◽  
The Uk

scholarly journals BattleNet: Capturing Advantageous Battlefield in RTS Games (Student Abstract)

2020 ◽  
Vol 34 (10) ◽  
pp. 13849-13850
Author(s):  
Donghyeon Lee ◽  
Man-Je Kim ◽  
Chang Wook Ahn
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Real Time ◽  
Large Scale ◽  
Outcome Predictor ◽  
Short Term ◽  
Rts Game

In a real-time strategy (RTS) game, StarCraft II, players need to know the consequences before making a decision in combat. We propose a combat outcome predictor which utilizes terrain information as well as squad information. For training the model, we generated a StarCraft II combat dataset by simulating diverse and large-scale combat situations. The overall accuracy of our model was 89.7%. Our predictor can be integrated into the artificial intelligence agent for RTS games as a short-term decision-making module.

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